{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fine-tuning a pretrained Faster RCNN for wheat head detection. Reference: https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: cython in /opt/conda/lib/python3.7/site-packages (0.29.16)\r\n",
      "Collecting git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI\r\n",
      "  Cloning https://github.com/cocodataset/cocoapi.git to /tmp/pip-req-build-ntcgq08f\r\n",
      "  Running command git clone -q https://github.com/cocodataset/cocoapi.git /tmp/pip-req-build-ntcgq08f\r\n",
      "Requirement already satisfied: setuptools>=18.0 in /opt/conda/lib/python3.7/site-packages (from pycocotools==2.0) (45.2.0.post20200209)\r\n",
      "Requirement already satisfied: cython>=0.27.3 in /opt/conda/lib/python3.7/site-packages (from pycocotools==2.0) (0.29.16)\r\n",
      "Requirement already satisfied: matplotlib>=2.1.0 in /opt/conda/lib/python3.7/site-packages (from pycocotools==2.0) (3.1.3)\r\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools==2.0) (1.1.0)\r\n",
      "Requirement already satisfied: numpy>=1.11 in /opt/conda/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools==2.0) (1.18.1)\r\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools==2.0) (2.8.1)\r\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools==2.0) (0.10.0)\r\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools==2.0) (2.4.6)\r\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.7/site-packages (from python-dateutil>=2.1->matplotlib>=2.1.0->pycocotools==2.0) (1.14.0)\r\n",
      "Building wheels for collected packages: pycocotools\r\n",
      "  Building wheel for pycocotools (setup.py) ... \u001b[?25l-\b \b\\\b \b|\b \b/\b \b-\b \b\\\b \b|\b \b/\b \bdone\r\n",
      "\u001b[?25h  Created wheel for pycocotools: filename=pycocotools-2.0-cp37-cp37m-linux_x86_64.whl size=279395 sha256=6179d3a19c1cefed6b964cfd24e124b9afd86319fedff02b39c2cc1d8cb9deb7\r\n",
      "  Stored in directory: /tmp/pip-ephem-wheel-cache-7co1vyuf/wheels/e2/6b/1d/344ac773c7495ea0b85eb228bc66daec7400a143a92d36b7b1\r\n",
      "Successfully built pycocotools\r\n",
      "Installing collected packages: pycocotools\r\n",
      "Successfully installed pycocotools-2.0\r\n"
     ]
    }
   ],
   "source": [
    "!pip install cython\n",
    "!pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'\n",
    "!cp /kaggle/input/rcnnutils/engine.py .\n",
    "!cp /kaggle/input/rcnnutils/utils.py .\n",
    "!cp /kaggle/input/rcnnutils/coco_eval.py .\n",
    "!cp /kaggle/input/rcnnutils/coco_utils.py .\n",
    "!cp /kaggle/input/rcnnutils/transforms.py ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import ast\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "import cv2\n",
    "\n",
    "import torch\n",
    "from PIL import Image\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "import albumentations\n",
    "\n",
    "import torchvision\n",
    "from torch.utils.data import DataLoader, Dataset\n",
    "from torchvision.models.detection.faster_rcnn import FastRCNNPredictor\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_submission.csv  test  train  train.csv\r\n"
     ]
    }
   ],
   "source": [
    "!ls /kaggle/input/global-wheat-detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Constants\n",
    "BASE_DIR = '/kaggle/input/global-wheat-detection'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>[834.0, 222.0, 56.0, 36.0]</td>\n",
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       "      <td>1024</td>\n",
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       "      <td>1024</td>\n",
       "      <td>1024</td>\n",
       "      <td>[834.0, 95.0, 109.0, 107.0]</td>\n",
       "      <td>usask_1</td>\n",
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       "      <th>4</th>\n",
       "      <td>b6ab77fd7</td>\n",
       "      <td>1024</td>\n",
       "      <td>1024</td>\n",
       "      <td>[26.0, 144.0, 124.0, 117.0]</td>\n",
       "      <td>usask_1</td>\n",
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       "    image_id  width  height                         bbox   source\n",
       "0  b6ab77fd7   1024    1024   [834.0, 222.0, 56.0, 36.0]  usask_1\n",
       "1  b6ab77fd7   1024    1024  [226.0, 548.0, 130.0, 58.0]  usask_1\n",
       "2  b6ab77fd7   1024    1024  [377.0, 504.0, 74.0, 160.0]  usask_1\n",
       "3  b6ab77fd7   1024    1024  [834.0, 95.0, 109.0, 107.0]  usask_1\n",
       "4  b6ab77fd7   1024    1024  [26.0, 144.0, 124.0, 117.0]  usask_1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_csv(os.path.join(BASE_DIR, 'train.csv'))\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>image_id</th>\n",
       "      <th>source</th>\n",
       "      <th>x_min</th>\n",
       "      <th>y_min</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>area</th>\n",
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       "      <th>0</th>\n",
       "      <td>b6ab77fd7</td>\n",
       "      <td>usask_1</td>\n",
       "      <td>834.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2016.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>b6ab77fd7</td>\n",
       "      <td>usask_1</td>\n",
       "      <td>226.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>58.0</td>\n",
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       "      <td>b6ab77fd7</td>\n",
       "      <td>usask_1</td>\n",
       "      <td>377.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>11840.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b6ab77fd7</td>\n",
       "      <td>usask_1</td>\n",
       "      <td>834.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>11663.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>b6ab77fd7</td>\n",
       "      <td>usask_1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>14508.0</td>\n",
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      ],
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       "    image_id   source  x_min  y_min  width  height     area\n",
       "0  b6ab77fd7  usask_1  834.0  222.0   56.0    36.0   2016.0\n",
       "1  b6ab77fd7  usask_1  226.0  548.0  130.0    58.0   7540.0\n",
       "2  b6ab77fd7  usask_1  377.0  504.0   74.0   160.0  11840.0\n",
       "3  b6ab77fd7  usask_1  834.0   95.0  109.0   107.0  11663.0\n",
       "4  b6ab77fd7  usask_1   26.0  144.0  124.0   117.0  14508.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's expand the bounding box coordinates and calculate the area of all the bboxes\n",
    "train_df[['x_min','y_min', 'width', 'height']] = pd.DataFrame([ast.literal_eval(x) for x in train_df.bbox.tolist()], index= train_df.index)\n",
    "train_df = train_df[['image_id', 'bbox', 'source', 'x_min', 'y_min', 'width', 'height']]\n",
    "train_df['area'] = train_df['width'] * train_df['height']\n",
    "train_df = train_df.drop(['bbox'], axis=1)\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_df = train_df.iloc[:2000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class WheatDataset(Dataset):\n",
    "    \n",
    "    def __init__(self, df, transforms):\n",
    "        self.df = df\n",
    "        self.image_ids = train_df['image_id'].unique()\n",
    "        self.transforms = transforms\n",
    "    \n",
    "    def __len__(self):\n",
    "        return len(self.image_ids)\n",
    "    \n",
    "    def __getitem__(self, index):\n",
    "        image_id = self.image_ids[index]\n",
    "\n",
    "        image = cv2.imread(os.path.join(BASE_DIR, 'train', f'{image_id}.jpg'), cv2.IMREAD_COLOR)\n",
    "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB).astype(np.float32)\n",
    "        image /= 255.0\n",
    "        # Convert from NHWC to NCHW as pytorch expects images in NCHW format\n",
    "        image = np.transpose(image, (2, 0, 1))\n",
    "        image = torch.from_numpy(image)\n",
    "        \n",
    "        # Get bbox coordinates for each wheat head(s)\n",
    "        bboxes_df = self.df[self.df['image_id'] == image_id]\n",
    "        boxes, areas = [], []\n",
    "        n_objects = len(bboxes_df)  # Number of wheat heads in the given image\n",
    "\n",
    "        for i in range(n_objects):\n",
    "            x_min = bboxes_df.iloc[i]['x_min']\n",
    "            x_max = x_min + bboxes_df.iloc[i]['width']\n",
    "            y_min = bboxes_df.iloc[i]['y_min']\n",
    "            y_max = y_min + bboxes_df.iloc[i]['height']\n",
    "            boxes.append([x_min, y_min, x_max, y_max])\n",
    "            areas.append(bboxes_df.iloc[i]['area'])\n",
    "            \n",
    "        \n",
    "        # Convert everything into a torch.Tensor\n",
    "        boxes = torch.as_tensor(boxes, dtype=torch.float32)\n",
    "        \n",
    "        # Get the labels. We have only one class (wheat head)\n",
    "        labels = torch.ones((n_objects, ), dtype=torch.int64)\n",
    "        \n",
    "        areas = torch.as_tensor(areas)\n",
    "        \n",
    "        # suppose all instances are not crowd\n",
    "        iscrowd = torch.zeros((n_objects, ), dtype=torch.int64)\n",
    "        \n",
    "        target = {\n",
    "            'boxes': boxes,\n",
    "            'labels': labels,\n",
    "            'image_id': torch.tensor([index]),\n",
    "            'area': areas,\n",
    "            'iscrowd': iscrowd\n",
    "        }\n",
    "        \n",
    "        if self.transforms is not None:\n",
    "            image = self.transforms(image=image)['image']\n",
    "\n",
    "        return image, target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model(pre_trained=True):\n",
    "    # load a model pre-trained pre-trained on COCO\n",
    "    model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=pre_trained)\n",
    "\n",
    "    # replace the classifier with a new one, that has\n",
    "    # num_classes which is user-defined\n",
    "    num_classes = 2  # 1 class (wheat heads) + background\n",
    "\n",
    "    # get number of input features for the classifier\n",
    "    in_features = model.roi_heads.box_predictor.cls_score.in_features\n",
    "\n",
    "    # replace the pre-trained head with a new one\n",
    "    model.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes)\n",
    "\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can not simply do this as there are bounding boxes and thier location also needs to be changed. So for now not using this\n",
    "def get_train_transforms():\n",
    "    return albumentations.Compose([\n",
    "        albumentations.ShiftScaleRotate(shift_limit=0.0625,\n",
    "                                       scale_limit=0.15, \n",
    "                                       rotate_limit=10,\n",
    "                                       p=0.9),\n",
    "        albumentations.HorizontalFlip(p=0.5),\n",
    "        albumentations.VerticalFlip(p=0.5)\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "47346bc76b5e4b0791affcea063cf027",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=167502836.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch: [0]  [  0/208]  eta: 0:35:25  lr: 0.000029  loss: 4.6920 (4.6920)  loss_classifier: 0.7300 (0.7300)  loss_box_reg: 0.3613 (0.3613)  loss_objectness: 3.3775 (3.3775)  loss_rpn_box_reg: 0.2232 (0.2232)  time: 10.2164  data: 4.8588  max mem: 11464\n",
      "Epoch: [0]  [ 10/208]  eta: 0:09:13  lr: 0.000270  loss: 2.9558 (3.0932)  loss_classifier: 0.6965 (0.6756)  loss_box_reg: 0.4248 (0.4273)  loss_objectness: 1.6272 (1.7907)  loss_rpn_box_reg: 0.2003 (0.1996)  time: 2.7971  data: 0.5523  max mem: 11729\n",
      "Epoch: [0]  [ 20/208]  eta: 0:07:45  lr: 0.000512  loss: 1.6672 (2.3873)  loss_classifier: 0.5643 (0.6060)  loss_box_reg: 0.4509 (0.4422)  loss_objectness: 0.4916 (1.1433)  loss_rpn_box_reg: 0.1925 (0.1958)  time: 2.0869  data: 0.1176  max mem: 11729\n",
      "Epoch: [0]  [ 30/208]  eta: 0:06:53  lr: 0.000753  loss: 1.4668 (2.0524)  loss_classifier: 0.4994 (0.5547)  loss_box_reg: 0.4636 (0.4495)  loss_objectness: 0.2896 (0.8544)  loss_rpn_box_reg: 0.1853 (0.1938)  time: 2.0656  data: 0.1062  max mem: 11729\n",
      "Epoch: [0]  [ 40/208]  eta: 0:06:18  lr: 0.000994  loss: 1.2526 (1.8485)  loss_classifier: 0.4141 (0.5151)  loss_box_reg: 0.4663 (0.4520)  loss_objectness: 0.1983 (0.6905)  loss_rpn_box_reg: 0.1730 (0.1909)  time: 2.0229  data: 0.0996  max mem: 11729\n",
      "Epoch: [0]  [ 50/208]  eta: 0:05:51  lr: 0.001236  loss: 1.1163 (1.6997)  loss_classifier: 0.3707 (0.4840)  loss_box_reg: 0.4347 (0.4430)  loss_objectness: 0.1520 (0.5848)  loss_rpn_box_reg: 0.1722 (0.1879)  time: 2.0732  data: 0.1094  max mem: 11729\n",
      "Epoch: [0]  [ 60/208]  eta: 0:05:24  lr: 0.001477  loss: 1.0507 (1.5826)  loss_classifier: 0.3429 (0.4602)  loss_box_reg: 0.3665 (0.4271)  loss_objectness: 0.1391 (0.5106)  loss_rpn_box_reg: 0.1679 (0.1847)  time: 2.0723  data: 0.1082  max mem: 11729\n",
      "Epoch: [0]  [ 70/208]  eta: 0:05:00  lr: 0.001718  loss: 0.9368 (1.4862)  loss_classifier: 0.3148 (0.4380)  loss_box_reg: 0.3166 (0.4090)  loss_objectness: 0.1244 (0.4558)  loss_rpn_box_reg: 0.1689 (0.1834)  time: 2.0530  data: 0.1077  max mem: 11729\n",
      "Epoch: [0]  [ 80/208]  eta: 0:04:37  lr: 0.001960  loss: 0.8575 (1.4060)  loss_classifier: 0.3015 (0.4212)  loss_box_reg: 0.2879 (0.3935)  loss_objectness: 0.1054 (0.4116)  loss_rpn_box_reg: 0.1616 (0.1798)  time: 2.0772  data: 0.1110  max mem: 11729\n",
      "Epoch: [0]  [ 90/208]  eta: 0:04:14  lr: 0.002201  loss: 0.8088 (1.3378)  loss_classifier: 0.2839 (0.4055)  loss_box_reg: 0.2713 (0.3792)  loss_objectness: 0.0908 (0.3759)  loss_rpn_box_reg: 0.1487 (0.1773)  time: 2.0685  data: 0.1030  max mem: 11729\n",
      "Epoch: [0]  [100/208]  eta: 0:03:51  lr: 0.002442  loss: 0.7742 (1.2820)  loss_classifier: 0.2770 (0.3922)  loss_box_reg: 0.2612 (0.3678)  loss_objectness: 0.0850 (0.3474)  loss_rpn_box_reg: 0.1520 (0.1746)  time: 2.0720  data: 0.1041  max mem: 11729\n",
      "Epoch: [0]  [110/208]  eta: 0:03:30  lr: 0.002683  loss: 0.7645 (1.2355)  loss_classifier: 0.2688 (0.3811)  loss_box_reg: 0.2559 (0.3575)  loss_objectness: 0.0853 (0.3243)  loss_rpn_box_reg: 0.1530 (0.1726)  time: 2.1006  data: 0.1072  max mem: 11729\n",
      "Epoch: [0]  [120/208]  eta: 0:03:08  lr: 0.002925  loss: 0.7610 (1.1950)  loss_classifier: 0.2634 (0.3710)  loss_box_reg: 0.2518 (0.3486)  loss_objectness: 0.0875 (0.3046)  loss_rpn_box_reg: 0.1535 (0.1708)  time: 2.0863  data: 0.1056  max mem: 11729\n",
      "Epoch: [0]  [130/208]  eta: 0:02:46  lr: 0.003166  loss: 0.7421 (1.1599)  loss_classifier: 0.2621 (0.3625)  loss_box_reg: 0.2465 (0.3408)  loss_objectness: 0.0816 (0.2874)  loss_rpn_box_reg: 0.1515 (0.1692)  time: 2.0744  data: 0.1082  max mem: 11729\n",
      "Epoch: [0]  [140/208]  eta: 0:02:24  lr: 0.003407  loss: 0.7473 (1.1318)  loss_classifier: 0.2641 (0.3555)  loss_box_reg: 0.2465 (0.3339)  loss_objectness: 0.0773 (0.2737)  loss_rpn_box_reg: 0.1534 (0.1686)  time: 2.0795  data: 0.1123  max mem: 11729\n",
      "Epoch: [0]  [150/208]  eta: 0:02:03  lr: 0.003649  loss: 0.7290 (1.1027)  loss_classifier: 0.2564 (0.3481)  loss_box_reg: 0.2373 (0.3274)  loss_objectness: 0.0753 (0.2605)  loss_rpn_box_reg: 0.1436 (0.1666)  time: 2.0575  data: 0.1076  max mem: 11729\n",
      "Epoch: [0]  [160/208]  eta: 0:01:41  lr: 0.003890  loss: 0.7129 (1.0802)  loss_classifier: 0.2477 (0.3425)  loss_box_reg: 0.2345 (0.3219)  loss_objectness: 0.0754 (0.2499)  loss_rpn_box_reg: 0.1436 (0.1659)  time: 2.0809  data: 0.1098  max mem: 11729\n",
      "Epoch: [0]  [170/208]  eta: 0:01:20  lr: 0.004131  loss: 0.7087 (1.0578)  loss_classifier: 0.2465 (0.3365)  loss_box_reg: 0.2332 (0.3164)  loss_objectness: 0.0766 (0.2400)  loss_rpn_box_reg: 0.1510 (0.1649)  time: 2.0927  data: 0.1098  max mem: 11729\n",
      "Epoch: [0]  [180/208]  eta: 0:00:59  lr: 0.004373  loss: 0.6950 (1.0403)  loss_classifier: 0.2422 (0.3321)  loss_box_reg: 0.2353 (0.3125)  loss_objectness: 0.0754 (0.2312)  loss_rpn_box_reg: 0.1512 (0.1645)  time: 2.0703  data: 0.1034  max mem: 11729\n",
      "Epoch: [0]  [190/208]  eta: 0:00:38  lr: 0.004614  loss: 0.6923 (1.0214)  loss_classifier: 0.2422 (0.3270)  loss_box_reg: 0.2343 (0.3080)  loss_objectness: 0.0744 (0.2229)  loss_rpn_box_reg: 0.1484 (0.1635)  time: 2.0828  data: 0.1127  max mem: 11729\n",
      "Epoch: [0]  [200/208]  eta: 0:00:16  lr: 0.004855  loss: 0.6691 (1.0040)  loss_classifier: 0.2361 (0.3225)  loss_box_reg: 0.2276 (0.3038)  loss_objectness: 0.0693 (0.2154)  loss_rpn_box_reg: 0.1385 (0.1623)  time: 2.0516  data: 0.1122  max mem: 11729\n",
      "Epoch: [0]  [207/208]  eta: 0:00:02  lr: 0.005000  loss: 0.6691 (0.9937)  loss_classifier: 0.2366 (0.3198)  loss_box_reg: 0.2257 (0.3013)  loss_objectness: 0.0659 (0.2106)  loss_rpn_box_reg: 0.1368 (0.1620)  time: 1.9171  data: 0.0920  max mem: 11729\n",
      "Epoch: [0] Total time: 0:07:16 (2.0988 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:33  model_time: 0.6578 (0.6578)  evaluator_time: 3.5593 (3.5593)  time: 8.3687  data: 4.0212  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6331 (0.5108)  evaluator_time: 3.5593 (2.8116)  time: 4.4399  data: 1.0216  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.4588 s / it)\n",
      "Averaged stats: model_time: 0.6331 (0.5108)  evaluator_time: 3.5593 (2.8116)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.07s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.430\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.869\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.369\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.239\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.433\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.446\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.129\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.508\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.250\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.546\n",
      "Epoch: [1]  [  0/208]  eta: 0:26:40  lr: 0.005000  loss: 0.7433 (0.7433)  loss_classifier: 0.2347 (0.2347)  loss_box_reg: 0.2454 (0.2454)  loss_objectness: 0.0901 (0.0901)  loss_rpn_box_reg: 0.1731 (0.1731)  time: 7.6928  data: 5.1116  max mem: 11729\n",
      "Epoch: [1]  [ 10/208]  eta: 0:09:06  lr: 0.005000  loss: 0.6718 (0.6736)  loss_classifier: 0.2397 (0.2348)  loss_box_reg: 0.2288 (0.2279)  loss_objectness: 0.0673 (0.0659)  loss_rpn_box_reg: 0.1384 (0.1450)  time: 2.7576  data: 0.5990  max mem: 11729\n",
      "Epoch: [1]  [ 20/208]  eta: 0:07:37  lr: 0.005000  loss: 0.6618 (0.6700)  loss_classifier: 0.2379 (0.2355)  loss_box_reg: 0.2245 (0.2243)  loss_objectness: 0.0624 (0.0656)  loss_rpn_box_reg: 0.1403 (0.1446)  time: 2.1715  data: 0.1274  max mem: 11729\n",
      "Epoch: [1]  [ 30/208]  eta: 0:06:50  lr: 0.005000  loss: 0.6613 (0.6706)  loss_classifier: 0.2326 (0.2358)  loss_box_reg: 0.2207 (0.2238)  loss_objectness: 0.0644 (0.0676)  loss_rpn_box_reg: 0.1403 (0.1435)  time: 2.0582  data: 0.1030  max mem: 11729\n",
      "Epoch: [1]  [ 40/208]  eta: 0:06:19  lr: 0.005000  loss: 0.6512 (0.6653)  loss_classifier: 0.2290 (0.2336)  loss_box_reg: 0.2207 (0.2220)  loss_objectness: 0.0657 (0.0667)  loss_rpn_box_reg: 0.1371 (0.1430)  time: 2.0716  data: 0.1067  max mem: 11729\n",
      "Epoch: [1]  [ 50/208]  eta: 0:05:49  lr: 0.005000  loss: 0.6393 (0.6634)  loss_classifier: 0.2290 (0.2328)  loss_box_reg: 0.2171 (0.2218)  loss_objectness: 0.0657 (0.0666)  loss_rpn_box_reg: 0.1382 (0.1422)  time: 2.0666  data: 0.1087  max mem: 11729\n",
      "Epoch: [1]  [ 60/208]  eta: 0:05:24  lr: 0.005000  loss: 0.6447 (0.6599)  loss_classifier: 0.2291 (0.2322)  loss_box_reg: 0.2179 (0.2209)  loss_objectness: 0.0589 (0.0651)  loss_rpn_box_reg: 0.1382 (0.1417)  time: 2.0555  data: 0.1061  max mem: 11729\n",
      "Epoch: [1]  [ 70/208]  eta: 0:05:00  lr: 0.005000  loss: 0.6308 (0.6578)  loss_classifier: 0.2226 (0.2306)  loss_box_reg: 0.2164 (0.2200)  loss_objectness: 0.0573 (0.0647)  loss_rpn_box_reg: 0.1408 (0.1423)  time: 2.0948  data: 0.1065  max mem: 11729\n",
      "Epoch: [1]  [ 80/208]  eta: 0:04:36  lr: 0.005000  loss: 0.6399 (0.6580)  loss_classifier: 0.2291 (0.2309)  loss_box_reg: 0.2187 (0.2202)  loss_objectness: 0.0579 (0.0650)  loss_rpn_box_reg: 0.1408 (0.1419)  time: 2.0642  data: 0.1016  max mem: 11729\n",
      "Epoch: [1]  [ 90/208]  eta: 0:04:13  lr: 0.005000  loss: 0.6399 (0.6556)  loss_classifier: 0.2306 (0.2300)  loss_box_reg: 0.2211 (0.2195)  loss_objectness: 0.0613 (0.0646)  loss_rpn_box_reg: 0.1369 (0.1415)  time: 2.0411  data: 0.1000  max mem: 11729\n",
      "Epoch: [1]  [100/208]  eta: 0:03:51  lr: 0.005000  loss: 0.6415 (0.6573)  loss_classifier: 0.2305 (0.2304)  loss_box_reg: 0.2167 (0.2196)  loss_objectness: 0.0622 (0.0658)  loss_rpn_box_reg: 0.1355 (0.1416)  time: 2.0714  data: 0.1050  max mem: 11729\n",
      "Epoch: [1]  [110/208]  eta: 0:03:29  lr: 0.005000  loss: 0.6475 (0.6571)  loss_classifier: 0.2327 (0.2307)  loss_box_reg: 0.2198 (0.2197)  loss_objectness: 0.0600 (0.0651)  loss_rpn_box_reg: 0.1339 (0.1417)  time: 2.0710  data: 0.1057  max mem: 11729\n",
      "Epoch: [1]  [120/208]  eta: 0:03:07  lr: 0.005000  loss: 0.6399 (0.6550)  loss_classifier: 0.2329 (0.2302)  loss_box_reg: 0.2084 (0.2187)  loss_objectness: 0.0598 (0.0648)  loss_rpn_box_reg: 0.1368 (0.1413)  time: 2.0450  data: 0.1028  max mem: 11729\n",
      "Epoch: [1]  [130/208]  eta: 0:02:45  lr: 0.005000  loss: 0.6322 (0.6525)  loss_classifier: 0.2227 (0.2296)  loss_box_reg: 0.2068 (0.2180)  loss_objectness: 0.0598 (0.0643)  loss_rpn_box_reg: 0.1301 (0.1406)  time: 2.0537  data: 0.1109  max mem: 11729\n",
      "Epoch: [1]  [140/208]  eta: 0:02:24  lr: 0.005000  loss: 0.6197 (0.6510)  loss_classifier: 0.2175 (0.2291)  loss_box_reg: 0.2139 (0.2178)  loss_objectness: 0.0576 (0.0642)  loss_rpn_box_reg: 0.1278 (0.1399)  time: 2.0659  data: 0.1150  max mem: 11729\n",
      "Epoch: [1]  [150/208]  eta: 0:02:02  lr: 0.005000  loss: 0.6309 (0.6500)  loss_classifier: 0.2296 (0.2293)  loss_box_reg: 0.2139 (0.2170)  loss_objectness: 0.0584 (0.0638)  loss_rpn_box_reg: 0.1357 (0.1399)  time: 2.0362  data: 0.1061  max mem: 11729\n",
      "Epoch: [1]  [160/208]  eta: 0:01:41  lr: 0.005000  loss: 0.6292 (0.6487)  loss_classifier: 0.2295 (0.2288)  loss_box_reg: 0.2023 (0.2166)  loss_objectness: 0.0554 (0.0636)  loss_rpn_box_reg: 0.1392 (0.1397)  time: 2.0589  data: 0.1149  max mem: 11729\n",
      "Epoch: [1]  [170/208]  eta: 0:01:20  lr: 0.005000  loss: 0.6038 (0.6465)  loss_classifier: 0.2149 (0.2277)  loss_box_reg: 0.1997 (0.2157)  loss_objectness: 0.0531 (0.0633)  loss_rpn_box_reg: 0.1274 (0.1397)  time: 2.0679  data: 0.1190  max mem: 11729\n",
      "Epoch: [1]  [180/208]  eta: 0:00:58  lr: 0.005000  loss: 0.5993 (0.6442)  loss_classifier: 0.2081 (0.2269)  loss_box_reg: 0.1963 (0.2150)  loss_objectness: 0.0509 (0.0628)  loss_rpn_box_reg: 0.1312 (0.1394)  time: 2.0250  data: 0.1058  max mem: 11729\n",
      "Epoch: [1]  [190/208]  eta: 0:00:37  lr: 0.005000  loss: 0.5993 (0.6422)  loss_classifier: 0.2140 (0.2262)  loss_box_reg: 0.1952 (0.2142)  loss_objectness: 0.0509 (0.0626)  loss_rpn_box_reg: 0.1312 (0.1391)  time: 2.0485  data: 0.1065  max mem: 11729\n",
      "Epoch: [1]  [200/208]  eta: 0:00:16  lr: 0.005000  loss: 0.6008 (0.6404)  loss_classifier: 0.2048 (0.2256)  loss_box_reg: 0.2053 (0.2141)  loss_objectness: 0.0514 (0.0621)  loss_rpn_box_reg: 0.1295 (0.1386)  time: 2.0534  data: 0.1081  max mem: 11729\n",
      "Epoch: [1]  [207/208]  eta: 0:00:02  lr: 0.005000  loss: 0.6096 (0.6397)  loss_classifier: 0.2108 (0.2253)  loss_box_reg: 0.2053 (0.2139)  loss_objectness: 0.0535 (0.0620)  loss_rpn_box_reg: 0.1323 (0.1385)  time: 1.9454  data: 0.0966  max mem: 11729\n",
      "Epoch: [1] Total time: 0:07:13 (2.0856 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6522 (0.6522)  evaluator_time: 3.3982 (3.3982)  time: 8.2207  data: 4.0525  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6415 (0.5138)  evaluator_time: 3.3982 (2.6385)  time: 4.2861  data: 1.0418  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3042 s / it)\n",
      "Averaged stats: model_time: 0.6415 (0.5138)  evaluator_time: 3.3982 (2.6385)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.476\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.898\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.440\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.236\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.472\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.506\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.134\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.543\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.270\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.536\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.580\n",
      "Epoch: [2]  [  0/208]  eta: 0:30:20  lr: 0.005000  loss: 0.5891 (0.5891)  loss_classifier: 0.2081 (0.2081)  loss_box_reg: 0.2010 (0.2010)  loss_objectness: 0.0477 (0.0477)  loss_rpn_box_reg: 0.1323 (0.1323)  time: 8.7528  data: 5.9681  max mem: 11729\n",
      "Epoch: [2]  [ 10/208]  eta: 0:09:09  lr: 0.005000  loss: 0.5891 (0.5958)  loss_classifier: 0.2142 (0.2139)  loss_box_reg: 0.1964 (0.1993)  loss_objectness: 0.0477 (0.0502)  loss_rpn_box_reg: 0.1291 (0.1325)  time: 2.7737  data: 0.6444  max mem: 11729\n",
      "Epoch: [2]  [ 20/208]  eta: 0:07:36  lr: 0.005000  loss: 0.5849 (0.5897)  loss_classifier: 0.2084 (0.2110)  loss_box_reg: 0.1979 (0.1993)  loss_objectness: 0.0471 (0.0475)  loss_rpn_box_reg: 0.1291 (0.1318)  time: 2.1098  data: 0.1055  max mem: 11729\n",
      "Epoch: [2]  [ 30/208]  eta: 0:06:51  lr: 0.005000  loss: 0.5801 (0.5895)  loss_classifier: 0.2053 (0.2104)  loss_box_reg: 0.1979 (0.1997)  loss_objectness: 0.0473 (0.0489)  loss_rpn_box_reg: 0.1294 (0.1305)  time: 2.0573  data: 0.1059  max mem: 11729\n",
      "Epoch: [2]  [ 40/208]  eta: 0:06:16  lr: 0.005000  loss: 0.5947 (0.5950)  loss_classifier: 0.2112 (0.2129)  loss_box_reg: 0.1990 (0.2017)  loss_objectness: 0.0498 (0.0496)  loss_rpn_box_reg: 0.1294 (0.1308)  time: 2.0435  data: 0.1066  max mem: 11729\n",
      "Epoch: [2]  [ 50/208]  eta: 0:05:47  lr: 0.005000  loss: 0.6021 (0.5982)  loss_classifier: 0.2130 (0.2140)  loss_box_reg: 0.2072 (0.2035)  loss_objectness: 0.0501 (0.0499)  loss_rpn_box_reg: 0.1298 (0.1308)  time: 2.0180  data: 0.1045  max mem: 11729\n",
      "Epoch: [2]  [ 60/208]  eta: 0:05:23  lr: 0.005000  loss: 0.6083 (0.6019)  loss_classifier: 0.2151 (0.2143)  loss_box_reg: 0.2086 (0.2040)  loss_objectness: 0.0501 (0.0511)  loss_rpn_box_reg: 0.1339 (0.1325)  time: 2.0729  data: 0.1117  max mem: 11729\n",
      "Epoch: [2]  [ 70/208]  eta: 0:04:58  lr: 0.005000  loss: 0.6083 (0.6019)  loss_classifier: 0.2151 (0.2144)  loss_box_reg: 0.2039 (0.2038)  loss_objectness: 0.0485 (0.0507)  loss_rpn_box_reg: 0.1353 (0.1330)  time: 2.0711  data: 0.1091  max mem: 11729\n",
      "Epoch: [2]  [ 80/208]  eta: 0:04:34  lr: 0.005000  loss: 0.6108 (0.6022)  loss_classifier: 0.2097 (0.2146)  loss_box_reg: 0.2031 (0.2032)  loss_objectness: 0.0485 (0.0511)  loss_rpn_box_reg: 0.1303 (0.1333)  time: 2.0192  data: 0.1015  max mem: 11729\n",
      "Epoch: [2]  [ 90/208]  eta: 0:04:12  lr: 0.005000  loss: 0.5949 (0.6009)  loss_classifier: 0.2097 (0.2143)  loss_box_reg: 0.2031 (0.2029)  loss_objectness: 0.0513 (0.0510)  loss_rpn_box_reg: 0.1278 (0.1327)  time: 2.0621  data: 0.1172  max mem: 11729\n",
      "Epoch: [2]  [100/208]  eta: 0:03:49  lr: 0.005000  loss: 0.5887 (0.6030)  loss_classifier: 0.2123 (0.2151)  loss_box_reg: 0.2028 (0.2038)  loss_objectness: 0.0504 (0.0511)  loss_rpn_box_reg: 0.1260 (0.1330)  time: 2.0628  data: 0.1200  max mem: 11729\n",
      "Epoch: [2]  [110/208]  eta: 0:03:27  lr: 0.005000  loss: 0.5883 (0.6023)  loss_classifier: 0.2115 (0.2147)  loss_box_reg: 0.2009 (0.2032)  loss_objectness: 0.0489 (0.0509)  loss_rpn_box_reg: 0.1310 (0.1335)  time: 2.0308  data: 0.1030  max mem: 11729\n",
      "Epoch: [2]  [120/208]  eta: 0:03:06  lr: 0.005000  loss: 0.5828 (0.6015)  loss_classifier: 0.2046 (0.2140)  loss_box_reg: 0.1962 (0.2032)  loss_objectness: 0.0472 (0.0510)  loss_rpn_box_reg: 0.1317 (0.1333)  time: 2.0705  data: 0.1069  max mem: 11729\n",
      "Epoch: [2]  [130/208]  eta: 0:02:44  lr: 0.005000  loss: 0.5871 (0.6004)  loss_classifier: 0.2029 (0.2135)  loss_box_reg: 0.1980 (0.2028)  loss_objectness: 0.0493 (0.0511)  loss_rpn_box_reg: 0.1266 (0.1330)  time: 2.0555  data: 0.1062  max mem: 11729\n",
      "Epoch: [2]  [140/208]  eta: 0:02:23  lr: 0.005000  loss: 0.5879 (0.5995)  loss_classifier: 0.2057 (0.2135)  loss_box_reg: 0.1958 (0.2024)  loss_objectness: 0.0499 (0.0512)  loss_rpn_box_reg: 0.1214 (0.1324)  time: 2.0145  data: 0.0992  max mem: 11729\n",
      "Epoch: [2]  [150/208]  eta: 0:02:02  lr: 0.005000  loss: 0.5860 (0.5986)  loss_classifier: 0.2066 (0.2130)  loss_box_reg: 0.1960 (0.2021)  loss_objectness: 0.0499 (0.0514)  loss_rpn_box_reg: 0.1214 (0.1322)  time: 2.0610  data: 0.1074  max mem: 11729\n",
      "Epoch: [2]  [160/208]  eta: 0:01:40  lr: 0.005000  loss: 0.5973 (0.5995)  loss_classifier: 0.2116 (0.2132)  loss_box_reg: 0.2046 (0.2023)  loss_objectness: 0.0524 (0.0515)  loss_rpn_box_reg: 0.1292 (0.1325)  time: 2.0436  data: 0.1085  max mem: 11729\n",
      "Epoch: [2]  [170/208]  eta: 0:01:19  lr: 0.005000  loss: 0.5997 (0.5996)  loss_classifier: 0.2115 (0.2127)  loss_box_reg: 0.2046 (0.2024)  loss_objectness: 0.0496 (0.0518)  loss_rpn_box_reg: 0.1312 (0.1328)  time: 1.9934  data: 0.1015  max mem: 11729\n",
      "Epoch: [2]  [180/208]  eta: 0:00:58  lr: 0.005000  loss: 0.5724 (0.5980)  loss_classifier: 0.2056 (0.2121)  loss_box_reg: 0.2025 (0.2021)  loss_objectness: 0.0478 (0.0514)  loss_rpn_box_reg: 0.1296 (0.1324)  time: 2.0510  data: 0.1081  max mem: 11729\n",
      "Epoch: [2]  [190/208]  eta: 0:00:37  lr: 0.005000  loss: 0.5796 (0.5988)  loss_classifier: 0.2079 (0.2125)  loss_box_reg: 0.2005 (0.2023)  loss_objectness: 0.0453 (0.0515)  loss_rpn_box_reg: 0.1303 (0.1324)  time: 2.0642  data: 0.1089  max mem: 11729\n",
      "Epoch: [2]  [200/208]  eta: 0:00:16  lr: 0.005000  loss: 0.5881 (0.5984)  loss_classifier: 0.2137 (0.2124)  loss_box_reg: 0.2005 (0.2020)  loss_objectness: 0.0473 (0.0515)  loss_rpn_box_reg: 0.1307 (0.1324)  time: 2.0166  data: 0.1039  max mem: 11729\n",
      "Epoch: [2]  [207/208]  eta: 0:00:02  lr: 0.005000  loss: 0.5977 (0.5990)  loss_classifier: 0.2139 (0.2122)  loss_box_reg: 0.1999 (0.2021)  loss_objectness: 0.0525 (0.0519)  loss_rpn_box_reg: 0.1308 (0.1327)  time: 1.9249  data: 0.0946  max mem: 11729\n",
      "Epoch: [2] Total time: 0:07:11 (2.0740 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6586 (0.6586)  evaluator_time: 3.3821 (3.3821)  time: 8.0415  data: 3.8448  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6302 (0.5080)  evaluator_time: 3.3821 (2.7011)  time: 4.3021  data: 0.9908  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3269 s / it)\n",
      "Averaged stats: model_time: 0.6302 (0.5080)  evaluator_time: 3.3821 (2.7011)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.489\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.912\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.473\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.209\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.490\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.496\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.134\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.552\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.300\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.554\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.551\n",
      "Epoch: [3]  [  0/208]  eta: 0:27:23  lr: 0.000500  loss: 0.5621 (0.5621)  loss_classifier: 0.1968 (0.1968)  loss_box_reg: 0.1929 (0.1929)  loss_objectness: 0.0332 (0.0332)  loss_rpn_box_reg: 0.1392 (0.1392)  time: 7.9021  data: 5.3695  max mem: 11729\n",
      "Epoch: [3]  [ 10/208]  eta: 0:08:57  lr: 0.000500  loss: 0.5949 (0.5803)  loss_classifier: 0.2068 (0.2056)  loss_box_reg: 0.1991 (0.1976)  loss_objectness: 0.0462 (0.0473)  loss_rpn_box_reg: 0.1272 (0.1299)  time: 2.7124  data: 0.6094  max mem: 11729\n",
      "Epoch: [3]  [ 20/208]  eta: 0:07:28  lr: 0.000500  loss: 0.5807 (0.5852)  loss_classifier: 0.2068 (0.2067)  loss_box_reg: 0.1991 (0.1977)  loss_objectness: 0.0462 (0.0483)  loss_rpn_box_reg: 0.1267 (0.1325)  time: 2.1086  data: 0.1188  max mem: 11729\n",
      "Epoch: [3]  [ 30/208]  eta: 0:06:49  lr: 0.000500  loss: 0.5758 (0.5823)  loss_classifier: 0.2044 (0.2076)  loss_box_reg: 0.1971 (0.1975)  loss_objectness: 0.0456 (0.0468)  loss_rpn_box_reg: 0.1271 (0.1304)  time: 2.0709  data: 0.1062  max mem: 11729\n",
      "Epoch: [3]  [ 40/208]  eta: 0:06:15  lr: 0.000500  loss: 0.5749 (0.5783)  loss_classifier: 0.2029 (0.2056)  loss_box_reg: 0.1964 (0.1969)  loss_objectness: 0.0432 (0.0465)  loss_rpn_box_reg: 0.1266 (0.1293)  time: 2.0834  data: 0.1132  max mem: 11729\n",
      "Epoch: [3]  [ 50/208]  eta: 0:05:46  lr: 0.000500  loss: 0.5637 (0.5798)  loss_classifier: 0.1983 (0.2051)  loss_box_reg: 0.1968 (0.1972)  loss_objectness: 0.0448 (0.0471)  loss_rpn_box_reg: 0.1246 (0.1303)  time: 2.0306  data: 0.1107  max mem: 11729\n",
      "Epoch: [3]  [ 60/208]  eta: 0:05:22  lr: 0.000500  loss: 0.5745 (0.5790)  loss_classifier: 0.2018 (0.2058)  loss_box_reg: 0.1983 (0.1972)  loss_objectness: 0.0451 (0.0466)  loss_rpn_box_reg: 0.1246 (0.1294)  time: 2.0622  data: 0.1121  max mem: 11729\n",
      "Epoch: [3]  [ 70/208]  eta: 0:04:58  lr: 0.000500  loss: 0.5638 (0.5762)  loss_classifier: 0.2018 (0.2052)  loss_box_reg: 0.1955 (0.1959)  loss_objectness: 0.0452 (0.0462)  loss_rpn_box_reg: 0.1250 (0.1289)  time: 2.0808  data: 0.1112  max mem: 11729\n",
      "Epoch: [3]  [ 80/208]  eta: 0:04:34  lr: 0.000500  loss: 0.5535 (0.5745)  loss_classifier: 0.1943 (0.2050)  loss_box_reg: 0.1856 (0.1950)  loss_objectness: 0.0452 (0.0462)  loss_rpn_box_reg: 0.1244 (0.1283)  time: 2.0362  data: 0.1012  max mem: 11729\n",
      "Epoch: [3]  [ 90/208]  eta: 0:04:12  lr: 0.000500  loss: 0.5582 (0.5738)  loss_classifier: 0.1982 (0.2050)  loss_box_reg: 0.1923 (0.1951)  loss_objectness: 0.0452 (0.0461)  loss_rpn_box_reg: 0.1217 (0.1277)  time: 2.0798  data: 0.1038  max mem: 11729\n",
      "Epoch: [3]  [100/208]  eta: 0:03:50  lr: 0.000500  loss: 0.5530 (0.5716)  loss_classifier: 0.1982 (0.2043)  loss_box_reg: 0.1927 (0.1947)  loss_objectness: 0.0400 (0.0456)  loss_rpn_box_reg: 0.1212 (0.1271)  time: 2.0940  data: 0.1089  max mem: 11729\n",
      "Epoch: [3]  [110/208]  eta: 0:03:28  lr: 0.000500  loss: 0.5465 (0.5690)  loss_classifier: 0.1979 (0.2034)  loss_box_reg: 0.1874 (0.1938)  loss_objectness: 0.0390 (0.0449)  loss_rpn_box_reg: 0.1231 (0.1269)  time: 2.0480  data: 0.1085  max mem: 11729\n",
      "Epoch: [3]  [120/208]  eta: 0:03:06  lr: 0.000500  loss: 0.5404 (0.5676)  loss_classifier: 0.1979 (0.2028)  loss_box_reg: 0.1864 (0.1936)  loss_objectness: 0.0394 (0.0445)  loss_rpn_box_reg: 0.1229 (0.1267)  time: 2.0741  data: 0.1047  max mem: 11729\n",
      "Epoch: [3]  [130/208]  eta: 0:02:45  lr: 0.000500  loss: 0.5432 (0.5665)  loss_classifier: 0.1912 (0.2024)  loss_box_reg: 0.1835 (0.1931)  loss_objectness: 0.0421 (0.0444)  loss_rpn_box_reg: 0.1229 (0.1267)  time: 2.0660  data: 0.1030  max mem: 11729\n",
      "Epoch: [3]  [140/208]  eta: 0:02:23  lr: 0.000500  loss: 0.5642 (0.5677)  loss_classifier: 0.2023 (0.2027)  loss_box_reg: 0.1904 (0.1935)  loss_objectness: 0.0461 (0.0449)  loss_rpn_box_reg: 0.1245 (0.1267)  time: 2.0462  data: 0.1044  max mem: 11729\n",
      "Epoch: [3]  [150/208]  eta: 0:02:02  lr: 0.000500  loss: 0.5774 (0.5687)  loss_classifier: 0.2091 (0.2032)  loss_box_reg: 0.1966 (0.1938)  loss_objectness: 0.0485 (0.0450)  loss_rpn_box_reg: 0.1256 (0.1266)  time: 2.0844  data: 0.1146  max mem: 11729\n",
      "Epoch: [3]  [160/208]  eta: 0:01:41  lr: 0.000500  loss: 0.5750 (0.5678)  loss_classifier: 0.2038 (0.2027)  loss_box_reg: 0.1910 (0.1936)  loss_objectness: 0.0431 (0.0449)  loss_rpn_box_reg: 0.1238 (0.1266)  time: 2.0665  data: 0.1119  max mem: 11729\n",
      "Epoch: [3]  [170/208]  eta: 0:01:19  lr: 0.000500  loss: 0.5463 (0.5673)  loss_classifier: 0.1941 (0.2026)  loss_box_reg: 0.1872 (0.1937)  loss_objectness: 0.0423 (0.0448)  loss_rpn_box_reg: 0.1213 (0.1262)  time: 2.0369  data: 0.1049  max mem: 11729\n",
      "Epoch: [3]  [180/208]  eta: 0:00:58  lr: 0.000500  loss: 0.5676 (0.5684)  loss_classifier: 0.2027 (0.2030)  loss_box_reg: 0.1947 (0.1939)  loss_objectness: 0.0446 (0.0451)  loss_rpn_box_reg: 0.1213 (0.1263)  time: 2.0642  data: 0.1076  max mem: 11729\n",
      "Epoch: [3]  [190/208]  eta: 0:00:37  lr: 0.000500  loss: 0.5811 (0.5687)  loss_classifier: 0.2023 (0.2030)  loss_box_reg: 0.1965 (0.1940)  loss_objectness: 0.0480 (0.0453)  loss_rpn_box_reg: 0.1239 (0.1265)  time: 2.0634  data: 0.1055  max mem: 11729\n",
      "Epoch: [3]  [200/208]  eta: 0:00:16  lr: 0.000500  loss: 0.5692 (0.5682)  loss_classifier: 0.1968 (0.2027)  loss_box_reg: 0.1951 (0.1939)  loss_objectness: 0.0429 (0.0451)  loss_rpn_box_reg: 0.1242 (0.1265)  time: 2.0334  data: 0.1097  max mem: 11729\n",
      "Epoch: [3]  [207/208]  eta: 0:00:02  lr: 0.000500  loss: 0.5794 (0.5691)  loss_classifier: 0.2008 (0.2028)  loss_box_reg: 0.1942 (0.1940)  loss_objectness: 0.0424 (0.0454)  loss_rpn_box_reg: 0.1276 (0.1270)  time: 1.9259  data: 0.0989  max mem: 11729\n",
      "Epoch: [3] Total time: 0:07:13 (2.0851 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6411 (0.6411)  evaluator_time: 3.3744 (3.3744)  time: 8.0098  data: 3.8734  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6305 (0.5049)  evaluator_time: 3.3744 (2.7208)  time: 4.3535  data: 1.0302  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3728 s / it)\n",
      "Averaged stats: model_time: 0.6305 (0.5049)  evaluator_time: 3.3744 (2.7208)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.497\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.911\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.483\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.252\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.494\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.519\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.136\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.561\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.280\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.558\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.581\n",
      "Epoch: [4]  [  0/208]  eta: 0:27:49  lr: 0.000500  loss: 0.5465 (0.5465)  loss_classifier: 0.1956 (0.1956)  loss_box_reg: 0.1829 (0.1829)  loss_objectness: 0.0383 (0.0383)  loss_rpn_box_reg: 0.1297 (0.1297)  time: 8.0243  data: 5.6060  max mem: 11729\n",
      "Epoch: [4]  [ 10/208]  eta: 0:08:54  lr: 0.000500  loss: 0.5668 (0.5720)  loss_classifier: 0.2047 (0.2076)  loss_box_reg: 0.1920 (0.1931)  loss_objectness: 0.0396 (0.0414)  loss_rpn_box_reg: 0.1310 (0.1298)  time: 2.6992  data: 0.6385  max mem: 11729\n",
      "Epoch: [4]  [ 20/208]  eta: 0:07:25  lr: 0.000500  loss: 0.5466 (0.5595)  loss_classifier: 0.2009 (0.1986)  loss_box_reg: 0.1860 (0.1886)  loss_objectness: 0.0413 (0.0434)  loss_rpn_box_reg: 0.1271 (0.1289)  time: 2.0877  data: 0.1199  max mem: 11729\n",
      "Epoch: [4]  [ 30/208]  eta: 0:06:45  lr: 0.000500  loss: 0.5361 (0.5559)  loss_classifier: 0.1903 (0.1976)  loss_box_reg: 0.1852 (0.1890)  loss_objectness: 0.0413 (0.0437)  loss_rpn_box_reg: 0.1181 (0.1256)  time: 2.0482  data: 0.1013  max mem: 11729\n",
      "Epoch: [4]  [ 40/208]  eta: 0:06:12  lr: 0.000500  loss: 0.5604 (0.5619)  loss_classifier: 0.1918 (0.1979)  loss_box_reg: 0.1896 (0.1918)  loss_objectness: 0.0424 (0.0440)  loss_rpn_box_reg: 0.1204 (0.1281)  time: 2.0599  data: 0.1062  max mem: 11729\n",
      "Epoch: [4]  [ 50/208]  eta: 0:05:47  lr: 0.000500  loss: 0.5615 (0.5638)  loss_classifier: 0.1970 (0.1995)  loss_box_reg: 0.1945 (0.1923)  loss_objectness: 0.0395 (0.0437)  loss_rpn_box_reg: 0.1270 (0.1283)  time: 2.0722  data: 0.1039  max mem: 11729\n",
      "Epoch: [4]  [ 60/208]  eta: 0:05:20  lr: 0.000500  loss: 0.5387 (0.5616)  loss_classifier: 0.1958 (0.1986)  loss_box_reg: 0.1839 (0.1919)  loss_objectness: 0.0403 (0.0437)  loss_rpn_box_reg: 0.1198 (0.1274)  time: 2.0534  data: 0.1005  max mem: 11729\n",
      "Epoch: [4]  [ 70/208]  eta: 0:04:56  lr: 0.000500  loss: 0.5425 (0.5601)  loss_classifier: 0.1975 (0.1989)  loss_box_reg: 0.1881 (0.1918)  loss_objectness: 0.0424 (0.0434)  loss_rpn_box_reg: 0.1176 (0.1260)  time: 2.0282  data: 0.1068  max mem: 11729\n",
      "Epoch: [4]  [ 80/208]  eta: 0:04:33  lr: 0.000500  loss: 0.5631 (0.5642)  loss_classifier: 0.2031 (0.2003)  loss_box_reg: 0.1930 (0.1935)  loss_objectness: 0.0441 (0.0439)  loss_rpn_box_reg: 0.1202 (0.1264)  time: 2.0525  data: 0.1061  max mem: 11729\n",
      "Epoch: [4]  [ 90/208]  eta: 0:04:11  lr: 0.000500  loss: 0.5797 (0.5659)  loss_classifier: 0.2082 (0.2011)  loss_box_reg: 0.2015 (0.1942)  loss_objectness: 0.0422 (0.0441)  loss_rpn_box_reg: 0.1309 (0.1265)  time: 2.0567  data: 0.1052  max mem: 11729\n",
      "Epoch: [4]  [100/208]  eta: 0:03:48  lr: 0.000500  loss: 0.5681 (0.5657)  loss_classifier: 0.2001 (0.2013)  loss_box_reg: 0.2002 (0.1939)  loss_objectness: 0.0405 (0.0439)  loss_rpn_box_reg: 0.1216 (0.1265)  time: 2.0511  data: 0.1052  max mem: 11729\n",
      "Epoch: [4]  [110/208]  eta: 0:03:27  lr: 0.000500  loss: 0.5681 (0.5661)  loss_classifier: 0.1987 (0.2013)  loss_box_reg: 0.1971 (0.1943)  loss_objectness: 0.0405 (0.0438)  loss_rpn_box_reg: 0.1216 (0.1267)  time: 2.0526  data: 0.1087  max mem: 11729\n",
      "Epoch: [4]  [120/208]  eta: 0:03:06  lr: 0.000500  loss: 0.5690 (0.5669)  loss_classifier: 0.2028 (0.2019)  loss_box_reg: 0.1977 (0.1946)  loss_objectness: 0.0402 (0.0436)  loss_rpn_box_reg: 0.1270 (0.1268)  time: 2.0923  data: 0.1169  max mem: 11729\n",
      "Epoch: [4]  [130/208]  eta: 0:02:44  lr: 0.000500  loss: 0.5671 (0.5664)  loss_classifier: 0.2022 (0.2019)  loss_box_reg: 0.1941 (0.1944)  loss_objectness: 0.0400 (0.0435)  loss_rpn_box_reg: 0.1264 (0.1266)  time: 2.0758  data: 0.1119  max mem: 11729\n",
      "Epoch: [4]  [140/208]  eta: 0:02:23  lr: 0.000500  loss: 0.5520 (0.5658)  loss_classifier: 0.1995 (0.2017)  loss_box_reg: 0.1893 (0.1941)  loss_objectness: 0.0431 (0.0436)  loss_rpn_box_reg: 0.1203 (0.1264)  time: 2.0627  data: 0.1084  max mem: 11729\n",
      "Epoch: [4]  [150/208]  eta: 0:02:02  lr: 0.000500  loss: 0.5535 (0.5659)  loss_classifier: 0.1947 (0.2020)  loss_box_reg: 0.1861 (0.1938)  loss_objectness: 0.0435 (0.0437)  loss_rpn_box_reg: 0.1213 (0.1265)  time: 2.0705  data: 0.1089  max mem: 11729\n",
      "Epoch: [4]  [160/208]  eta: 0:01:40  lr: 0.000500  loss: 0.5530 (0.5648)  loss_classifier: 0.1947 (0.2015)  loss_box_reg: 0.1861 (0.1933)  loss_objectness: 0.0422 (0.0437)  loss_rpn_box_reg: 0.1217 (0.1264)  time: 2.0306  data: 0.1031  max mem: 11729\n",
      "Epoch: [4]  [170/208]  eta: 0:01:19  lr: 0.000500  loss: 0.5527 (0.5650)  loss_classifier: 0.1946 (0.2015)  loss_box_reg: 0.1881 (0.1933)  loss_objectness: 0.0417 (0.0439)  loss_rpn_box_reg: 0.1217 (0.1264)  time: 2.0545  data: 0.1054  max mem: 11729\n",
      "Epoch: [4]  [180/208]  eta: 0:00:58  lr: 0.000500  loss: 0.5527 (0.5640)  loss_classifier: 0.1979 (0.2011)  loss_box_reg: 0.1869 (0.1930)  loss_objectness: 0.0435 (0.0438)  loss_rpn_box_reg: 0.1206 (0.1260)  time: 2.0905  data: 0.1129  max mem: 11729\n",
      "Epoch: [4]  [190/208]  eta: 0:00:37  lr: 0.000500  loss: 0.5432 (0.5633)  loss_classifier: 0.1969 (0.2007)  loss_box_reg: 0.1855 (0.1926)  loss_objectness: 0.0440 (0.0438)  loss_rpn_box_reg: 0.1204 (0.1262)  time: 2.0591  data: 0.1141  max mem: 11729\n",
      "Epoch: [4]  [200/208]  eta: 0:00:16  lr: 0.000500  loss: 0.5604 (0.5632)  loss_classifier: 0.1969 (0.2008)  loss_box_reg: 0.1876 (0.1926)  loss_objectness: 0.0437 (0.0437)  loss_rpn_box_reg: 0.1237 (0.1260)  time: 2.0734  data: 0.1113  max mem: 11729\n",
      "Epoch: [4]  [207/208]  eta: 0:00:02  lr: 0.000500  loss: 0.5671 (0.5634)  loss_classifier: 0.2033 (0.2011)  loss_box_reg: 0.1940 (0.1927)  loss_objectness: 0.0437 (0.0437)  loss_rpn_box_reg: 0.1195 (0.1258)  time: 1.9721  data: 0.0951  max mem: 11729\n",
      "Epoch: [4] Total time: 0:07:13 (2.0843 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6812 (0.6812)  evaluator_time: 3.4285 (3.4285)  time: 7.9083  data: 3.6788  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6340 (0.5143)  evaluator_time: 3.4285 (2.7934)  time: 4.3494  data: 0.9493  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3694 s / it)\n",
      "Averaged stats: model_time: 0.6340 (0.5143)  evaluator_time: 3.4285 (2.7934)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.07s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.913\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.487\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.220\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.501\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.136\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.300\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.578\n",
      "Epoch: [5]  [  0/208]  eta: 0:28:38  lr: 0.000500  loss: 0.5349 (0.5349)  loss_classifier: 0.1878 (0.1878)  loss_box_reg: 0.1866 (0.1866)  loss_objectness: 0.0410 (0.0410)  loss_rpn_box_reg: 0.1195 (0.1195)  time: 8.2618  data: 5.7184  max mem: 11729\n",
      "Epoch: [5]  [ 10/208]  eta: 0:08:45  lr: 0.000500  loss: 0.5384 (0.5425)  loss_classifier: 0.1937 (0.1968)  loss_box_reg: 0.1869 (0.1877)  loss_objectness: 0.0405 (0.0398)  loss_rpn_box_reg: 0.1176 (0.1183)  time: 2.6553  data: 0.6137  max mem: 11729\n",
      "Epoch: [5]  [ 20/208]  eta: 0:07:26  lr: 0.000500  loss: 0.5404 (0.5509)  loss_classifier: 0.1924 (0.1980)  loss_box_reg: 0.1872 (0.1906)  loss_objectness: 0.0383 (0.0409)  loss_rpn_box_reg: 0.1186 (0.1214)  time: 2.0830  data: 0.1006  max mem: 11729\n",
      "Epoch: [5]  [ 30/208]  eta: 0:06:44  lr: 0.000500  loss: 0.5477 (0.5568)  loss_classifier: 0.1954 (0.2001)  loss_box_reg: 0.1965 (0.1931)  loss_objectness: 0.0407 (0.0416)  loss_rpn_box_reg: 0.1225 (0.1220)  time: 2.0595  data: 0.1011  max mem: 11729\n",
      "Epoch: [5]  [ 40/208]  eta: 0:06:09  lr: 0.000500  loss: 0.5688 (0.5630)  loss_classifier: 0.2059 (0.2021)  loss_box_reg: 0.1973 (0.1947)  loss_objectness: 0.0454 (0.0432)  loss_rpn_box_reg: 0.1198 (0.1230)  time: 2.0124  data: 0.1008  max mem: 11729\n",
      "Epoch: [5]  [ 50/208]  eta: 0:05:42  lr: 0.000500  loss: 0.5609 (0.5591)  loss_classifier: 0.2029 (0.2009)  loss_box_reg: 0.1942 (0.1928)  loss_objectness: 0.0419 (0.0423)  loss_rpn_box_reg: 0.1198 (0.1230)  time: 2.0010  data: 0.1052  max mem: 11729\n",
      "Epoch: [5]  [ 60/208]  eta: 0:05:17  lr: 0.000500  loss: 0.5410 (0.5572)  loss_classifier: 0.1994 (0.2009)  loss_box_reg: 0.1865 (0.1923)  loss_objectness: 0.0364 (0.0420)  loss_rpn_box_reg: 0.1162 (0.1220)  time: 2.0398  data: 0.1062  max mem: 11729\n",
      "Epoch: [5]  [ 70/208]  eta: 0:04:53  lr: 0.000500  loss: 0.5490 (0.5601)  loss_classifier: 0.2055 (0.2015)  loss_box_reg: 0.1895 (0.1932)  loss_objectness: 0.0446 (0.0426)  loss_rpn_box_reg: 0.1220 (0.1228)  time: 2.0201  data: 0.0996  max mem: 11729\n",
      "Epoch: [5]  [ 80/208]  eta: 0:04:30  lr: 0.000500  loss: 0.5855 (0.5617)  loss_classifier: 0.2055 (0.2017)  loss_box_reg: 0.1958 (0.1937)  loss_objectness: 0.0458 (0.0430)  loss_rpn_box_reg: 0.1263 (0.1233)  time: 2.0017  data: 0.1035  max mem: 11729\n",
      "Epoch: [5]  [ 90/208]  eta: 0:04:08  lr: 0.000500  loss: 0.5756 (0.5631)  loss_classifier: 0.2047 (0.2015)  loss_box_reg: 0.1933 (0.1937)  loss_objectness: 0.0468 (0.0437)  loss_rpn_box_reg: 0.1263 (0.1242)  time: 2.0351  data: 0.1036  max mem: 11729\n",
      "Epoch: [5]  [100/208]  eta: 0:03:46  lr: 0.000500  loss: 0.5656 (0.5637)  loss_classifier: 0.2017 (0.2019)  loss_box_reg: 0.1907 (0.1934)  loss_objectness: 0.0449 (0.0437)  loss_rpn_box_reg: 0.1265 (0.1246)  time: 2.0388  data: 0.1037  max mem: 11729\n",
      "Epoch: [5]  [110/208]  eta: 0:03:24  lr: 0.000500  loss: 0.5597 (0.5628)  loss_classifier: 0.1954 (0.2013)  loss_box_reg: 0.1894 (0.1933)  loss_objectness: 0.0418 (0.0435)  loss_rpn_box_reg: 0.1198 (0.1246)  time: 2.0280  data: 0.1026  max mem: 11729\n",
      "Epoch: [5]  [120/208]  eta: 0:03:03  lr: 0.000500  loss: 0.5618 (0.5629)  loss_classifier: 0.1954 (0.2011)  loss_box_reg: 0.1935 (0.1935)  loss_objectness: 0.0445 (0.0438)  loss_rpn_box_reg: 0.1198 (0.1245)  time: 2.0542  data: 0.1038  max mem: 11729\n",
      "Epoch: [5]  [130/208]  eta: 0:02:42  lr: 0.000500  loss: 0.5646 (0.5618)  loss_classifier: 0.1959 (0.2009)  loss_box_reg: 0.1935 (0.1934)  loss_objectness: 0.0403 (0.0434)  loss_rpn_box_reg: 0.1191 (0.1241)  time: 2.0618  data: 0.1085  max mem: 11729\n",
      "Epoch: [5]  [140/208]  eta: 0:02:21  lr: 0.000500  loss: 0.5567 (0.5620)  loss_classifier: 0.1940 (0.2005)  loss_box_reg: 0.1917 (0.1934)  loss_objectness: 0.0403 (0.0434)  loss_rpn_box_reg: 0.1240 (0.1248)  time: 2.0525  data: 0.1096  max mem: 11729\n",
      "Epoch: [5]  [150/208]  eta: 0:02:00  lr: 0.000500  loss: 0.5584 (0.5631)  loss_classifier: 0.2003 (0.2010)  loss_box_reg: 0.1932 (0.1935)  loss_objectness: 0.0443 (0.0438)  loss_rpn_box_reg: 0.1286 (0.1249)  time: 2.0549  data: 0.1109  max mem: 11729\n",
      "Epoch: [5]  [160/208]  eta: 0:01:39  lr: 0.000500  loss: 0.5589 (0.5637)  loss_classifier: 0.2035 (0.2012)  loss_box_reg: 0.1906 (0.1933)  loss_objectness: 0.0462 (0.0440)  loss_rpn_box_reg: 0.1274 (0.1252)  time: 2.0243  data: 0.1048  max mem: 11729\n",
      "Epoch: [5]  [170/208]  eta: 0:01:18  lr: 0.000500  loss: 0.5708 (0.5642)  loss_classifier: 0.2055 (0.2015)  loss_box_reg: 0.1928 (0.1935)  loss_objectness: 0.0431 (0.0436)  loss_rpn_box_reg: 0.1274 (0.1256)  time: 2.0531  data: 0.1042  max mem: 11729\n",
      "Epoch: [5]  [180/208]  eta: 0:00:58  lr: 0.000500  loss: 0.5704 (0.5643)  loss_classifier: 0.2055 (0.2015)  loss_box_reg: 0.1928 (0.1933)  loss_objectness: 0.0410 (0.0437)  loss_rpn_box_reg: 0.1256 (0.1257)  time: 2.0598  data: 0.1055  max mem: 11729\n",
      "Epoch: [5]  [190/208]  eta: 0:00:37  lr: 0.000500  loss: 0.5505 (0.5637)  loss_classifier: 0.1975 (0.2014)  loss_box_reg: 0.1874 (0.1931)  loss_objectness: 0.0410 (0.0436)  loss_rpn_box_reg: 0.1224 (0.1255)  time: 2.0089  data: 0.1027  max mem: 11729\n",
      "Epoch: [5]  [200/208]  eta: 0:00:16  lr: 0.000500  loss: 0.5505 (0.5631)  loss_classifier: 0.1961 (0.2011)  loss_box_reg: 0.1858 (0.1926)  loss_objectness: 0.0419 (0.0436)  loss_rpn_box_reg: 0.1217 (0.1257)  time: 2.0301  data: 0.1125  max mem: 11729\n",
      "Epoch: [5]  [207/208]  eta: 0:00:02  lr: 0.000500  loss: 0.5405 (0.5623)  loss_classifier: 0.1945 (0.2009)  loss_box_reg: 0.1813 (0.1922)  loss_objectness: 0.0419 (0.0435)  loss_rpn_box_reg: 0.1219 (0.1256)  time: 1.9422  data: 0.1015  max mem: 11729\n",
      "Epoch: [5] Total time: 0:07:08 (2.0604 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6562 (0.6562)  evaluator_time: 3.2930 (3.2930)  time: 7.9998  data: 3.9355  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6335 (0.5118)  evaluator_time: 3.2930 (2.5989)  time: 4.2177  data: 1.0008  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.2356 s / it)\n",
      "Averaged stats: model_time: 0.6335 (0.5118)  evaluator_time: 3.2930 (2.5989)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.913\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.566\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.581\n",
      "Epoch: [6]  [  0/208]  eta: 0:28:10  lr: 0.000050  loss: 0.5407 (0.5407)  loss_classifier: 0.2045 (0.2045)  loss_box_reg: 0.1757 (0.1757)  loss_objectness: 0.0392 (0.0392)  loss_rpn_box_reg: 0.1213 (0.1213)  time: 8.1285  data: 5.5964  max mem: 11729\n",
      "Epoch: [6]  [ 10/208]  eta: 0:08:45  lr: 0.000050  loss: 0.5409 (0.5447)  loss_classifier: 0.1933 (0.1949)  loss_box_reg: 0.1849 (0.1848)  loss_objectness: 0.0418 (0.0433)  loss_rpn_box_reg: 0.1201 (0.1217)  time: 2.6556  data: 0.6152  max mem: 11729\n",
      "Epoch: [6]  [ 20/208]  eta: 0:07:22  lr: 0.000050  loss: 0.5429 (0.5484)  loss_classifier: 0.1950 (0.1964)  loss_box_reg: 0.1854 (0.1869)  loss_objectness: 0.0418 (0.0421)  loss_rpn_box_reg: 0.1182 (0.1230)  time: 2.0624  data: 0.1087  max mem: 11729\n",
      "Epoch: [6]  [ 30/208]  eta: 0:06:41  lr: 0.000050  loss: 0.5548 (0.5537)  loss_classifier: 0.1982 (0.1984)  loss_box_reg: 0.1876 (0.1894)  loss_objectness: 0.0399 (0.0422)  loss_rpn_box_reg: 0.1197 (0.1237)  time: 2.0363  data: 0.1072  max mem: 11729\n",
      "Epoch: [6]  [ 40/208]  eta: 0:06:10  lr: 0.000050  loss: 0.5695 (0.5558)  loss_classifier: 0.1989 (0.1986)  loss_box_reg: 0.1938 (0.1900)  loss_objectness: 0.0408 (0.0420)  loss_rpn_box_reg: 0.1264 (0.1252)  time: 2.0462  data: 0.1104  max mem: 11729\n",
      "Epoch: [6]  [ 50/208]  eta: 0:05:42  lr: 0.000050  loss: 0.5546 (0.5540)  loss_classifier: 0.1982 (0.1983)  loss_box_reg: 0.1883 (0.1893)  loss_objectness: 0.0415 (0.0420)  loss_rpn_box_reg: 0.1244 (0.1244)  time: 2.0242  data: 0.1037  max mem: 11729\n",
      "Epoch: [6]  [ 60/208]  eta: 0:05:18  lr: 0.000050  loss: 0.5601 (0.5553)  loss_classifier: 0.2027 (0.1988)  loss_box_reg: 0.1883 (0.1901)  loss_objectness: 0.0417 (0.0420)  loss_rpn_box_reg: 0.1243 (0.1244)  time: 2.0484  data: 0.1033  max mem: 11729\n",
      "Epoch: [6]  [ 70/208]  eta: 0:04:54  lr: 0.000050  loss: 0.5674 (0.5564)  loss_classifier: 0.2026 (0.1988)  loss_box_reg: 0.1897 (0.1897)  loss_objectness: 0.0415 (0.0420)  loss_rpn_box_reg: 0.1261 (0.1258)  time: 2.0420  data: 0.1041  max mem: 11729\n",
      "Epoch: [6]  [ 80/208]  eta: 0:04:31  lr: 0.000050  loss: 0.5554 (0.5566)  loss_classifier: 0.1972 (0.1991)  loss_box_reg: 0.1903 (0.1905)  loss_objectness: 0.0375 (0.0417)  loss_rpn_box_reg: 0.1253 (0.1253)  time: 2.0169  data: 0.1020  max mem: 11729\n",
      "Epoch: [6]  [ 90/208]  eta: 0:04:09  lr: 0.000050  loss: 0.5669 (0.5588)  loss_classifier: 0.2002 (0.2000)  loss_box_reg: 0.1939 (0.1914)  loss_objectness: 0.0397 (0.0419)  loss_rpn_box_reg: 0.1234 (0.1256)  time: 2.0487  data: 0.1046  max mem: 11729\n",
      "Epoch: [6]  [100/208]  eta: 0:03:46  lr: 0.000050  loss: 0.5669 (0.5587)  loss_classifier: 0.2011 (0.2000)  loss_box_reg: 0.1939 (0.1918)  loss_objectness: 0.0422 (0.0420)  loss_rpn_box_reg: 0.1229 (0.1250)  time: 2.0160  data: 0.1044  max mem: 11729\n",
      "Epoch: [6]  [110/208]  eta: 0:03:24  lr: 0.000050  loss: 0.5611 (0.5594)  loss_classifier: 0.2012 (0.2002)  loss_box_reg: 0.1919 (0.1919)  loss_objectness: 0.0422 (0.0421)  loss_rpn_box_reg: 0.1242 (0.1252)  time: 1.9928  data: 0.1006  max mem: 11729\n",
      "Epoch: [6]  [120/208]  eta: 0:03:03  lr: 0.000050  loss: 0.5503 (0.5587)  loss_classifier: 0.1960 (0.1996)  loss_box_reg: 0.1899 (0.1916)  loss_objectness: 0.0419 (0.0421)  loss_rpn_box_reg: 0.1255 (0.1253)  time: 2.0466  data: 0.0985  max mem: 11729\n",
      "Epoch: [6]  [130/208]  eta: 0:02:42  lr: 0.000050  loss: 0.5406 (0.5582)  loss_classifier: 0.1908 (0.1993)  loss_box_reg: 0.1857 (0.1916)  loss_objectness: 0.0419 (0.0421)  loss_rpn_box_reg: 0.1204 (0.1252)  time: 2.0495  data: 0.1000  max mem: 11729\n",
      "Epoch: [6]  [140/208]  eta: 0:02:21  lr: 0.000050  loss: 0.5483 (0.5583)  loss_classifier: 0.1946 (0.1993)  loss_box_reg: 0.1934 (0.1917)  loss_objectness: 0.0410 (0.0421)  loss_rpn_box_reg: 0.1211 (0.1252)  time: 2.0391  data: 0.1092  max mem: 11729\n",
      "Epoch: [6]  [150/208]  eta: 0:02:00  lr: 0.000050  loss: 0.5596 (0.5587)  loss_classifier: 0.1968 (0.1993)  loss_box_reg: 0.1947 (0.1918)  loss_objectness: 0.0446 (0.0424)  loss_rpn_box_reg: 0.1230 (0.1252)  time: 2.0624  data: 0.1097  max mem: 11729\n",
      "Epoch: [6]  [160/208]  eta: 0:01:39  lr: 0.000050  loss: 0.5596 (0.5584)  loss_classifier: 0.1972 (0.1993)  loss_box_reg: 0.1923 (0.1917)  loss_objectness: 0.0446 (0.0424)  loss_rpn_box_reg: 0.1208 (0.1250)  time: 2.0278  data: 0.1009  max mem: 11729\n",
      "Epoch: [6]  [170/208]  eta: 0:01:18  lr: 0.000050  loss: 0.5537 (0.5592)  loss_classifier: 0.1972 (0.1992)  loss_box_reg: 0.1903 (0.1918)  loss_objectness: 0.0385 (0.0427)  loss_rpn_box_reg: 0.1239 (0.1254)  time: 2.0275  data: 0.1045  max mem: 11729\n",
      "Epoch: [6]  [180/208]  eta: 0:00:58  lr: 0.000050  loss: 0.5574 (0.5596)  loss_classifier: 0.1977 (0.1993)  loss_box_reg: 0.1935 (0.1918)  loss_objectness: 0.0403 (0.0429)  loss_rpn_box_reg: 0.1257 (0.1256)  time: 2.0650  data: 0.1075  max mem: 11729\n",
      "Epoch: [6]  [190/208]  eta: 0:00:37  lr: 0.000050  loss: 0.5574 (0.5585)  loss_classifier: 0.1973 (0.1990)  loss_box_reg: 0.1901 (0.1914)  loss_objectness: 0.0432 (0.0429)  loss_rpn_box_reg: 0.1230 (0.1252)  time: 2.0234  data: 0.1020  max mem: 11729\n",
      "Epoch: [6]  [200/208]  eta: 0:00:16  lr: 0.000050  loss: 0.5319 (0.5584)  loss_classifier: 0.1941 (0.1992)  loss_box_reg: 0.1812 (0.1913)  loss_objectness: 0.0402 (0.0428)  loss_rpn_box_reg: 0.1192 (0.1251)  time: 1.9939  data: 0.1039  max mem: 11729\n",
      "Epoch: [6]  [207/208]  eta: 0:00:02  lr: 0.000050  loss: 0.5280 (0.5578)  loss_classifier: 0.1941 (0.1991)  loss_box_reg: 0.1812 (0.1910)  loss_objectness: 0.0403 (0.0427)  loss_rpn_box_reg: 0.1181 (0.1249)  time: 1.9083  data: 0.0927  max mem: 11729\n",
      "Epoch: [6] Total time: 0:07:07 (2.0565 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6382 (0.6382)  evaluator_time: 3.3053 (3.3053)  time: 7.7799  data: 3.7199  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6301 (0.5048)  evaluator_time: 3.3053 (2.6011)  time: 4.1447  data: 0.9465  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1627 s / it)\n",
      "Averaged stats: model_time: 0.6301 (0.5048)  evaluator_time: 3.3053 (2.6011)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.495\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.231\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.524\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.566\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.581\n",
      "Epoch: [7]  [  0/208]  eta: 0:29:17  lr: 0.000050  loss: 0.5287 (0.5287)  loss_classifier: 0.1933 (0.1933)  loss_box_reg: 0.1805 (0.1805)  loss_objectness: 0.0309 (0.0309)  loss_rpn_box_reg: 0.1239 (0.1239)  time: 8.4502  data: 5.9825  max mem: 11729\n",
      "Epoch: [7]  [ 10/208]  eta: 0:08:51  lr: 0.000050  loss: 0.5287 (0.5316)  loss_classifier: 0.1933 (0.1929)  loss_box_reg: 0.1797 (0.1848)  loss_objectness: 0.0417 (0.0390)  loss_rpn_box_reg: 0.1129 (0.1149)  time: 2.6822  data: 0.6337  max mem: 11729\n",
      "Epoch: [7]  [ 20/208]  eta: 0:07:24  lr: 0.000050  loss: 0.5338 (0.5450)  loss_classifier: 0.1928 (0.1961)  loss_box_reg: 0.1881 (0.1897)  loss_objectness: 0.0417 (0.0399)  loss_rpn_box_reg: 0.1160 (0.1193)  time: 2.0603  data: 0.0984  max mem: 11729\n",
      "Epoch: [7]  [ 30/208]  eta: 0:06:45  lr: 0.000050  loss: 0.5639 (0.5510)  loss_classifier: 0.1999 (0.1974)  loss_box_reg: 0.1896 (0.1904)  loss_objectness: 0.0412 (0.0409)  loss_rpn_box_reg: 0.1265 (0.1222)  time: 2.0538  data: 0.1098  max mem: 11729\n",
      "Epoch: [7]  [ 40/208]  eta: 0:06:10  lr: 0.000050  loss: 0.5536 (0.5523)  loss_classifier: 0.1983 (0.1982)  loss_box_reg: 0.1881 (0.1915)  loss_objectness: 0.0410 (0.0404)  loss_rpn_box_reg: 0.1249 (0.1222)  time: 2.0418  data: 0.1106  max mem: 11729\n",
      "Epoch: [7]  [ 50/208]  eta: 0:05:42  lr: 0.000050  loss: 0.5636 (0.5541)  loss_classifier: 0.2004 (0.1992)  loss_box_reg: 0.1918 (0.1911)  loss_objectness: 0.0418 (0.0413)  loss_rpn_box_reg: 0.1207 (0.1226)  time: 1.9986  data: 0.1006  max mem: 11729\n",
      "Epoch: [7]  [ 60/208]  eta: 0:05:18  lr: 0.000050  loss: 0.5603 (0.5541)  loss_classifier: 0.2000 (0.1990)  loss_box_reg: 0.1924 (0.1909)  loss_objectness: 0.0426 (0.0415)  loss_rpn_box_reg: 0.1211 (0.1227)  time: 2.0384  data: 0.1068  max mem: 11729\n",
      "Epoch: [7]  [ 70/208]  eta: 0:04:54  lr: 0.000050  loss: 0.5589 (0.5574)  loss_classifier: 0.1963 (0.1997)  loss_box_reg: 0.1951 (0.1916)  loss_objectness: 0.0431 (0.0423)  loss_rpn_box_reg: 0.1248 (0.1237)  time: 2.0427  data: 0.1054  max mem: 11729\n",
      "Epoch: [7]  [ 80/208]  eta: 0:04:30  lr: 0.000050  loss: 0.5589 (0.5571)  loss_classifier: 0.1988 (0.1996)  loss_box_reg: 0.1944 (0.1918)  loss_objectness: 0.0446 (0.0421)  loss_rpn_box_reg: 0.1250 (0.1235)  time: 2.0083  data: 0.1003  max mem: 11729\n",
      "Epoch: [7]  [ 90/208]  eta: 0:04:09  lr: 0.000050  loss: 0.5571 (0.5566)  loss_classifier: 0.1964 (0.1996)  loss_box_reg: 0.1883 (0.1912)  loss_objectness: 0.0425 (0.0424)  loss_rpn_box_reg: 0.1226 (0.1235)  time: 2.0460  data: 0.1032  max mem: 11729\n",
      "Epoch: [7]  [100/208]  eta: 0:03:46  lr: 0.000050  loss: 0.5571 (0.5560)  loss_classifier: 0.1994 (0.1991)  loss_box_reg: 0.1844 (0.1910)  loss_objectness: 0.0456 (0.0425)  loss_rpn_box_reg: 0.1187 (0.1234)  time: 2.0416  data: 0.1034  max mem: 11729\n",
      "Epoch: [7]  [110/208]  eta: 0:03:25  lr: 0.000050  loss: 0.5325 (0.5569)  loss_classifier: 0.1965 (0.1992)  loss_box_reg: 0.1857 (0.1909)  loss_objectness: 0.0440 (0.0426)  loss_rpn_box_reg: 0.1217 (0.1241)  time: 2.0041  data: 0.1099  max mem: 11729\n",
      "Epoch: [7]  [120/208]  eta: 0:03:04  lr: 0.000050  loss: 0.5795 (0.5589)  loss_classifier: 0.1956 (0.1996)  loss_box_reg: 0.1901 (0.1915)  loss_objectness: 0.0433 (0.0427)  loss_rpn_box_reg: 0.1239 (0.1252)  time: 2.0484  data: 0.1091  max mem: 11729\n",
      "Epoch: [7]  [130/208]  eta: 0:02:42  lr: 0.000050  loss: 0.5616 (0.5589)  loss_classifier: 0.1956 (0.1994)  loss_box_reg: 0.1889 (0.1912)  loss_objectness: 0.0432 (0.0428)  loss_rpn_box_reg: 0.1233 (0.1254)  time: 2.0535  data: 0.1094  max mem: 11729\n",
      "Epoch: [7]  [140/208]  eta: 0:02:21  lr: 0.000050  loss: 0.5607 (0.5602)  loss_classifier: 0.1983 (0.1997)  loss_box_reg: 0.1884 (0.1916)  loss_objectness: 0.0464 (0.0430)  loss_rpn_box_reg: 0.1246 (0.1258)  time: 2.0197  data: 0.1082  max mem: 11729\n",
      "Epoch: [7]  [150/208]  eta: 0:02:00  lr: 0.000050  loss: 0.5601 (0.5594)  loss_classifier: 0.2015 (0.1998)  loss_box_reg: 0.1903 (0.1913)  loss_objectness: 0.0435 (0.0429)  loss_rpn_box_reg: 0.1230 (0.1254)  time: 2.0424  data: 0.1039  max mem: 11729\n",
      "Epoch: [7]  [160/208]  eta: 0:01:39  lr: 0.000050  loss: 0.5529 (0.5599)  loss_classifier: 0.1974 (0.1998)  loss_box_reg: 0.1872 (0.1913)  loss_objectness: 0.0404 (0.0431)  loss_rpn_box_reg: 0.1175 (0.1257)  time: 2.0471  data: 0.1064  max mem: 11729\n",
      "Epoch: [7]  [170/208]  eta: 0:01:18  lr: 0.000050  loss: 0.5568 (0.5596)  loss_classifier: 0.1975 (0.1997)  loss_box_reg: 0.1911 (0.1913)  loss_objectness: 0.0399 (0.0429)  loss_rpn_box_reg: 0.1192 (0.1257)  time: 2.0206  data: 0.1029  max mem: 11729\n",
      "Epoch: [7]  [180/208]  eta: 0:00:58  lr: 0.000050  loss: 0.5493 (0.5584)  loss_classifier: 0.1928 (0.1992)  loss_box_reg: 0.1857 (0.1910)  loss_objectness: 0.0373 (0.0426)  loss_rpn_box_reg: 0.1219 (0.1255)  time: 2.0613  data: 0.1096  max mem: 11729\n",
      "Epoch: [7]  [190/208]  eta: 0:00:37  lr: 0.000050  loss: 0.5503 (0.5592)  loss_classifier: 0.1962 (0.1997)  loss_box_reg: 0.1953 (0.1916)  loss_objectness: 0.0383 (0.0425)  loss_rpn_box_reg: 0.1239 (0.1254)  time: 2.0418  data: 0.1072  max mem: 11729\n",
      "Epoch: [7]  [200/208]  eta: 0:00:16  lr: 0.000050  loss: 0.5576 (0.5584)  loss_classifier: 0.2053 (0.1996)  loss_box_reg: 0.1944 (0.1913)  loss_objectness: 0.0409 (0.0425)  loss_rpn_box_reg: 0.1211 (0.1250)  time: 1.9734  data: 0.0962  max mem: 11729\n",
      "Epoch: [7]  [207/208]  eta: 0:00:02  lr: 0.000050  loss: 0.5453 (0.5581)  loss_classifier: 0.1979 (0.1995)  loss_box_reg: 0.1886 (0.1912)  loss_objectness: 0.0416 (0.0425)  loss_rpn_box_reg: 0.1210 (0.1249)  time: 1.8999  data: 0.0909  max mem: 11729\n",
      "Epoch: [7] Total time: 0:07:07 (2.0565 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:30  model_time: 0.6494 (0.6494)  evaluator_time: 3.2831 (3.2831)  time: 7.7091  data: 3.6498  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6281 (0.5073)  evaluator_time: 3.1448 (2.5029)  time: 4.0503  data: 0.9442  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.0678 s / it)\n",
      "Averaged stats: model_time: 0.6281 (0.5073)  evaluator_time: 3.1448 (2.5029)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.497\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.228\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.566\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.578\n",
      "Epoch: [8]  [  0/208]  eta: 0:24:57  lr: 0.000050  loss: 0.4909 (0.4909)  loss_classifier: 0.1851 (0.1851)  loss_box_reg: 0.1772 (0.1772)  loss_objectness: 0.0309 (0.0309)  loss_rpn_box_reg: 0.0977 (0.0977)  time: 7.1993  data: 4.3082  max mem: 11729\n",
      "Epoch: [8]  [ 10/208]  eta: 0:08:59  lr: 0.000050  loss: 0.5753 (0.5730)  loss_classifier: 0.2059 (0.2045)  loss_box_reg: 0.1930 (0.1941)  loss_objectness: 0.0445 (0.0442)  loss_rpn_box_reg: 0.1277 (0.1302)  time: 2.7259  data: 0.5560  max mem: 11729\n",
      "Epoch: [8]  [ 20/208]  eta: 0:07:27  lr: 0.000050  loss: 0.5753 (0.5680)  loss_classifier: 0.2051 (0.2030)  loss_box_reg: 0.1925 (0.1934)  loss_objectness: 0.0438 (0.0436)  loss_rpn_box_reg: 0.1260 (0.1281)  time: 2.1417  data: 0.1400  max mem: 11729\n",
      "Epoch: [8]  [ 30/208]  eta: 0:06:44  lr: 0.000050  loss: 0.5586 (0.5631)  loss_classifier: 0.1986 (0.2009)  loss_box_reg: 0.1903 (0.1913)  loss_objectness: 0.0392 (0.0431)  loss_rpn_box_reg: 0.1203 (0.1279)  time: 2.0226  data: 0.1034  max mem: 11729\n",
      "Epoch: [8]  [ 40/208]  eta: 0:06:11  lr: 0.000050  loss: 0.5433 (0.5580)  loss_classifier: 0.1962 (0.1994)  loss_box_reg: 0.1851 (0.1902)  loss_objectness: 0.0385 (0.0420)  loss_rpn_box_reg: 0.1196 (0.1265)  time: 2.0273  data: 0.1073  max mem: 11729\n",
      "Epoch: [8]  [ 50/208]  eta: 0:05:43  lr: 0.000050  loss: 0.5539 (0.5576)  loss_classifier: 0.1962 (0.1993)  loss_box_reg: 0.1916 (0.1906)  loss_objectness: 0.0371 (0.0421)  loss_rpn_box_reg: 0.1208 (0.1256)  time: 2.0217  data: 0.1041  max mem: 11729\n",
      "Epoch: [8]  [ 60/208]  eta: 0:05:19  lr: 0.000050  loss: 0.5603 (0.5577)  loss_classifier: 0.2001 (0.1995)  loss_box_reg: 0.1925 (0.1915)  loss_objectness: 0.0376 (0.0414)  loss_rpn_box_reg: 0.1208 (0.1253)  time: 2.0481  data: 0.1068  max mem: 11729\n",
      "Epoch: [8]  [ 70/208]  eta: 0:04:54  lr: 0.000050  loss: 0.5569 (0.5585)  loss_classifier: 0.2014 (0.1998)  loss_box_reg: 0.1918 (0.1914)  loss_objectness: 0.0415 (0.0416)  loss_rpn_box_reg: 0.1249 (0.1257)  time: 2.0395  data: 0.1057  max mem: 11729\n",
      "Epoch: [8]  [ 80/208]  eta: 0:04:31  lr: 0.000050  loss: 0.5508 (0.5591)  loss_classifier: 0.2005 (0.2000)  loss_box_reg: 0.1898 (0.1910)  loss_objectness: 0.0421 (0.0424)  loss_rpn_box_reg: 0.1199 (0.1257)  time: 2.0069  data: 0.1018  max mem: 11729\n",
      "Epoch: [8]  [ 90/208]  eta: 0:04:09  lr: 0.000050  loss: 0.5479 (0.5591)  loss_classifier: 0.1998 (0.2003)  loss_box_reg: 0.1904 (0.1913)  loss_objectness: 0.0412 (0.0422)  loss_rpn_box_reg: 0.1182 (0.1252)  time: 2.0296  data: 0.1073  max mem: 11729\n",
      "Epoch: [8]  [100/208]  eta: 0:03:47  lr: 0.000050  loss: 0.5589 (0.5590)  loss_classifier: 0.2038 (0.2006)  loss_box_reg: 0.1971 (0.1916)  loss_objectness: 0.0390 (0.0417)  loss_rpn_box_reg: 0.1223 (0.1252)  time: 2.0454  data: 0.1071  max mem: 11729\n",
      "Epoch: [8]  [110/208]  eta: 0:03:25  lr: 0.000050  loss: 0.5550 (0.5575)  loss_classifier: 0.1988 (0.2002)  loss_box_reg: 0.1926 (0.1910)  loss_objectness: 0.0381 (0.0417)  loss_rpn_box_reg: 0.1197 (0.1246)  time: 2.0037  data: 0.1013  max mem: 11729\n",
      "Epoch: [8]  [120/208]  eta: 0:03:03  lr: 0.000050  loss: 0.5469 (0.5567)  loss_classifier: 0.1941 (0.2000)  loss_box_reg: 0.1862 (0.1911)  loss_objectness: 0.0381 (0.0415)  loss_rpn_box_reg: 0.1197 (0.1241)  time: 2.0056  data: 0.1003  max mem: 11729\n",
      "Epoch: [8]  [130/208]  eta: 0:02:42  lr: 0.000050  loss: 0.5664 (0.5579)  loss_classifier: 0.1980 (0.2005)  loss_box_reg: 0.1952 (0.1918)  loss_objectness: 0.0376 (0.0414)  loss_rpn_box_reg: 0.1207 (0.1243)  time: 2.0242  data: 0.1038  max mem: 11729\n",
      "Epoch: [8]  [140/208]  eta: 0:02:21  lr: 0.000050  loss: 0.5730 (0.5599)  loss_classifier: 0.2091 (0.2014)  loss_box_reg: 0.1990 (0.1923)  loss_objectness: 0.0412 (0.0417)  loss_rpn_box_reg: 0.1254 (0.1245)  time: 2.0050  data: 0.1028  max mem: 11729\n",
      "Epoch: [8]  [150/208]  eta: 0:02:00  lr: 0.000050  loss: 0.5623 (0.5593)  loss_classifier: 0.2064 (0.2010)  loss_box_reg: 0.1953 (0.1922)  loss_objectness: 0.0413 (0.0417)  loss_rpn_box_reg: 0.1254 (0.1244)  time: 2.0439  data: 0.1088  max mem: 11729\n",
      "Epoch: [8]  [160/208]  eta: 0:01:39  lr: 0.000050  loss: 0.5483 (0.5589)  loss_classifier: 0.1916 (0.2005)  loss_box_reg: 0.1929 (0.1917)  loss_objectness: 0.0415 (0.0418)  loss_rpn_box_reg: 0.1254 (0.1248)  time: 2.0557  data: 0.1131  max mem: 11729\n",
      "Epoch: [8]  [170/208]  eta: 0:01:18  lr: 0.000050  loss: 0.5548 (0.5587)  loss_classifier: 0.1944 (0.2003)  loss_box_reg: 0.1931 (0.1916)  loss_objectness: 0.0430 (0.0420)  loss_rpn_box_reg: 0.1259 (0.1248)  time: 2.0229  data: 0.1054  max mem: 11729\n",
      "Epoch: [8]  [180/208]  eta: 0:00:57  lr: 0.000050  loss: 0.5500 (0.5584)  loss_classifier: 0.1957 (0.2002)  loss_box_reg: 0.1926 (0.1915)  loss_objectness: 0.0417 (0.0419)  loss_rpn_box_reg: 0.1235 (0.1248)  time: 2.0322  data: 0.1017  max mem: 11729\n",
      "Epoch: [8]  [190/208]  eta: 0:00:37  lr: 0.000050  loss: 0.5338 (0.5581)  loss_classifier: 0.1957 (0.2003)  loss_box_reg: 0.1907 (0.1916)  loss_objectness: 0.0412 (0.0419)  loss_rpn_box_reg: 0.1171 (0.1243)  time: 2.0393  data: 0.1076  max mem: 11729\n",
      "Epoch: [8]  [200/208]  eta: 0:00:16  lr: 0.000050  loss: 0.5491 (0.5583)  loss_classifier: 0.1995 (0.1999)  loss_box_reg: 0.1918 (0.1914)  loss_objectness: 0.0429 (0.0422)  loss_rpn_box_reg: 0.1171 (0.1248)  time: 2.0073  data: 0.1046  max mem: 11729\n",
      "Epoch: [8]  [207/208]  eta: 0:00:02  lr: 0.000050  loss: 0.5491 (0.5578)  loss_classifier: 0.1981 (0.1998)  loss_box_reg: 0.1840 (0.1911)  loss_objectness: 0.0427 (0.0420)  loss_rpn_box_reg: 0.1301 (0.1248)  time: 1.8986  data: 0.0861  max mem: 11729\n",
      "Epoch: [8] Total time: 0:07:07 (2.0533 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6454 (0.6454)  evaluator_time: 3.2596 (3.2596)  time: 7.8695  data: 3.8392  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6293 (0.5045)  evaluator_time: 3.2596 (2.5528)  time: 4.1276  data: 0.9762  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1452 s / it)\n",
      "Averaged stats: model_time: 0.6293 (0.5045)  evaluator_time: 3.2596 (2.5528)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [9]  [  0/208]  eta: 0:27:10  lr: 0.000005  loss: 0.4782 (0.4782)  loss_classifier: 0.1704 (0.1704)  loss_box_reg: 0.1774 (0.1774)  loss_objectness: 0.0228 (0.0228)  loss_rpn_box_reg: 0.1076 (0.1076)  time: 7.8397  data: 5.2965  max mem: 11729\n",
      "Epoch: [9]  [ 10/208]  eta: 0:08:57  lr: 0.000005  loss: 0.5715 (0.5637)  loss_classifier: 0.2010 (0.1980)  loss_box_reg: 0.1948 (0.1933)  loss_objectness: 0.0413 (0.0439)  loss_rpn_box_reg: 0.1287 (0.1285)  time: 2.7125  data: 0.6172  max mem: 11729\n",
      "Epoch: [9]  [ 20/208]  eta: 0:07:23  lr: 0.000005  loss: 0.5574 (0.5532)  loss_classifier: 0.1997 (0.1989)  loss_box_reg: 0.1936 (0.1907)  loss_objectness: 0.0405 (0.0411)  loss_rpn_box_reg: 0.1201 (0.1225)  time: 2.0872  data: 0.1251  max mem: 11729\n",
      "Epoch: [9]  [ 30/208]  eta: 0:06:37  lr: 0.000005  loss: 0.5461 (0.5508)  loss_classifier: 0.1997 (0.1993)  loss_box_reg: 0.1892 (0.1905)  loss_objectness: 0.0373 (0.0406)  loss_rpn_box_reg: 0.1168 (0.1203)  time: 1.9697  data: 0.1008  max mem: 11729\n",
      "Epoch: [9]  [ 40/208]  eta: 0:06:08  lr: 0.000005  loss: 0.5461 (0.5486)  loss_classifier: 0.1989 (0.1982)  loss_box_reg: 0.1883 (0.1896)  loss_objectness: 0.0414 (0.0411)  loss_rpn_box_reg: 0.1167 (0.1197)  time: 2.0232  data: 0.1006  max mem: 11729\n",
      "Epoch: [9]  [ 50/208]  eta: 0:05:40  lr: 0.000005  loss: 0.5447 (0.5500)  loss_classifier: 0.1902 (0.1972)  loss_box_reg: 0.1835 (0.1887)  loss_objectness: 0.0416 (0.0412)  loss_rpn_box_reg: 0.1231 (0.1230)  time: 2.0381  data: 0.1004  max mem: 11729\n",
      "Epoch: [9]  [ 60/208]  eta: 0:05:15  lr: 0.000005  loss: 0.5548 (0.5497)  loss_classifier: 0.1918 (0.1975)  loss_box_reg: 0.1830 (0.1886)  loss_objectness: 0.0431 (0.0413)  loss_rpn_box_reg: 0.1266 (0.1223)  time: 1.9933  data: 0.0989  max mem: 11729\n",
      "Epoch: [9]  [ 70/208]  eta: 0:04:52  lr: 0.000005  loss: 0.5421 (0.5480)  loss_classifier: 0.1960 (0.1972)  loss_box_reg: 0.1860 (0.1882)  loss_objectness: 0.0393 (0.0411)  loss_rpn_box_reg: 0.1182 (0.1215)  time: 2.0331  data: 0.1071  max mem: 11729\n",
      "Epoch: [9]  [ 80/208]  eta: 0:04:29  lr: 0.000005  loss: 0.5469 (0.5515)  loss_classifier: 0.1978 (0.1986)  loss_box_reg: 0.1951 (0.1895)  loss_objectness: 0.0400 (0.0412)  loss_rpn_box_reg: 0.1238 (0.1223)  time: 2.0372  data: 0.1083  max mem: 11729\n",
      "Epoch: [9]  [ 90/208]  eta: 0:04:07  lr: 0.000005  loss: 0.5504 (0.5510)  loss_classifier: 0.2021 (0.1982)  loss_box_reg: 0.1933 (0.1895)  loss_objectness: 0.0405 (0.0411)  loss_rpn_box_reg: 0.1233 (0.1221)  time: 1.9949  data: 0.1017  max mem: 11729\n",
      "Epoch: [9]  [100/208]  eta: 0:03:45  lr: 0.000005  loss: 0.5554 (0.5521)  loss_classifier: 0.2021 (0.1987)  loss_box_reg: 0.1933 (0.1898)  loss_objectness: 0.0399 (0.0412)  loss_rpn_box_reg: 0.1212 (0.1223)  time: 2.0169  data: 0.1059  max mem: 11729\n",
      "Epoch: [9]  [110/208]  eta: 0:03:24  lr: 0.000005  loss: 0.5554 (0.5515)  loss_classifier: 0.2001 (0.1985)  loss_box_reg: 0.1899 (0.1897)  loss_objectness: 0.0394 (0.0410)  loss_rpn_box_reg: 0.1244 (0.1223)  time: 2.0274  data: 0.1053  max mem: 11729\n",
      "Epoch: [9]  [120/208]  eta: 0:03:02  lr: 0.000005  loss: 0.5513 (0.5516)  loss_classifier: 0.1953 (0.1983)  loss_box_reg: 0.1871 (0.1900)  loss_objectness: 0.0372 (0.0409)  loss_rpn_box_reg: 0.1228 (0.1224)  time: 2.0164  data: 0.1000  max mem: 11729\n",
      "Epoch: [9]  [130/208]  eta: 0:02:42  lr: 0.000005  loss: 0.5616 (0.5543)  loss_classifier: 0.2006 (0.1992)  loss_box_reg: 0.1934 (0.1908)  loss_objectness: 0.0390 (0.0412)  loss_rpn_box_reg: 0.1228 (0.1231)  time: 2.0667  data: 0.1012  max mem: 11729\n",
      "Epoch: [9]  [140/208]  eta: 0:02:21  lr: 0.000005  loss: 0.5649 (0.5548)  loss_classifier: 0.2006 (0.1991)  loss_box_reg: 0.1914 (0.1911)  loss_objectness: 0.0430 (0.0411)  loss_rpn_box_reg: 0.1276 (0.1236)  time: 2.0634  data: 0.1020  max mem: 11729\n",
      "Epoch: [9]  [150/208]  eta: 0:02:00  lr: 0.000005  loss: 0.5592 (0.5559)  loss_classifier: 0.1992 (0.1995)  loss_box_reg: 0.1906 (0.1911)  loss_objectness: 0.0423 (0.0414)  loss_rpn_box_reg: 0.1270 (0.1239)  time: 2.0323  data: 0.0994  max mem: 11729\n",
      "Epoch: [9]  [160/208]  eta: 0:01:39  lr: 0.000005  loss: 0.5618 (0.5562)  loss_classifier: 0.1999 (0.1995)  loss_box_reg: 0.1943 (0.1912)  loss_objectness: 0.0431 (0.0416)  loss_rpn_box_reg: 0.1244 (0.1239)  time: 2.0576  data: 0.1075  max mem: 11729\n",
      "Epoch: [9]  [170/208]  eta: 0:01:18  lr: 0.000005  loss: 0.5533 (0.5553)  loss_classifier: 0.1988 (0.1995)  loss_box_reg: 0.1897 (0.1909)  loss_objectness: 0.0390 (0.0413)  loss_rpn_box_reg: 0.1215 (0.1236)  time: 2.0214  data: 0.1060  max mem: 11729\n",
      "Epoch: [9]  [180/208]  eta: 0:00:57  lr: 0.000005  loss: 0.5520 (0.5555)  loss_classifier: 0.1973 (0.1996)  loss_box_reg: 0.1899 (0.1911)  loss_objectness: 0.0374 (0.0412)  loss_rpn_box_reg: 0.1198 (0.1236)  time: 1.9990  data: 0.1000  max mem: 11729\n",
      "Epoch: [9]  [190/208]  eta: 0:00:37  lr: 0.000005  loss: 0.5610 (0.5560)  loss_classifier: 0.1967 (0.1993)  loss_box_reg: 0.1916 (0.1911)  loss_objectness: 0.0409 (0.0416)  loss_rpn_box_reg: 0.1195 (0.1240)  time: 2.0336  data: 0.1060  max mem: 11729\n",
      "Epoch: [9]  [200/208]  eta: 0:00:16  lr: 0.000005  loss: 0.5685 (0.5573)  loss_classifier: 0.2016 (0.1996)  loss_box_reg: 0.1933 (0.1912)  loss_objectness: 0.0433 (0.0419)  loss_rpn_box_reg: 0.1261 (0.1246)  time: 2.0174  data: 0.1037  max mem: 11729\n",
      "Epoch: [9]  [207/208]  eta: 0:00:02  lr: 0.000005  loss: 0.5563 (0.5573)  loss_classifier: 0.2011 (0.1995)  loss_box_reg: 0.1856 (0.1910)  loss_objectness: 0.0434 (0.0419)  loss_rpn_box_reg: 0.1254 (0.1249)  time: 1.9075  data: 0.0895  max mem: 11729\n",
      "Epoch: [9] Total time: 0:07:06 (2.0498 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6408 (0.6408)  evaluator_time: 3.1986 (3.1986)  time: 7.8086  data: 3.8123  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6353 (0.5059)  evaluator_time: 3.1986 (2.4804)  time: 4.0846  data: 0.9960  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1036 s / it)\n",
      "Averaged stats: model_time: 0.6353 (0.5059)  evaluator_time: 3.1986 (2.4804)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.497\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [10]  [  0/208]  eta: 0:25:58  lr: 0.000005  loss: 0.5457 (0.5457)  loss_classifier: 0.2063 (0.2063)  loss_box_reg: 0.1971 (0.1971)  loss_objectness: 0.0345 (0.0345)  loss_rpn_box_reg: 0.1078 (0.1078)  time: 7.4911  data: 4.9310  max mem: 11729\n",
      "Epoch: [10]  [ 10/208]  eta: 0:08:55  lr: 0.000005  loss: 0.5440 (0.5522)  loss_classifier: 0.1960 (0.1989)  loss_box_reg: 0.1897 (0.1911)  loss_objectness: 0.0394 (0.0396)  loss_rpn_box_reg: 0.1175 (0.1226)  time: 2.7027  data: 0.5962  max mem: 11729\n",
      "Epoch: [10]  [ 20/208]  eta: 0:07:26  lr: 0.000005  loss: 0.5418 (0.5493)  loss_classifier: 0.1938 (0.1969)  loss_box_reg: 0.1876 (0.1889)  loss_objectness: 0.0394 (0.0405)  loss_rpn_box_reg: 0.1212 (0.1231)  time: 2.1194  data: 0.1321  max mem: 11729\n",
      "Epoch: [10]  [ 30/208]  eta: 0:06:40  lr: 0.000005  loss: 0.5315 (0.5482)  loss_classifier: 0.1928 (0.1966)  loss_box_reg: 0.1858 (0.1877)  loss_objectness: 0.0393 (0.0408)  loss_rpn_box_reg: 0.1210 (0.1232)  time: 2.0018  data: 0.1038  max mem: 11729\n",
      "Epoch: [10]  [ 40/208]  eta: 0:06:10  lr: 0.000005  loss: 0.5374 (0.5473)  loss_classifier: 0.1959 (0.1967)  loss_box_reg: 0.1864 (0.1870)  loss_objectness: 0.0377 (0.0402)  loss_rpn_box_reg: 0.1210 (0.1235)  time: 2.0297  data: 0.1051  max mem: 11729\n",
      "Epoch: [10]  [ 50/208]  eta: 0:05:42  lr: 0.000005  loss: 0.5494 (0.5472)  loss_classifier: 0.1992 (0.1971)  loss_box_reg: 0.1864 (0.1868)  loss_objectness: 0.0386 (0.0405)  loss_rpn_box_reg: 0.1215 (0.1228)  time: 2.0322  data: 0.1008  max mem: 11729\n",
      "Epoch: [10]  [ 60/208]  eta: 0:05:16  lr: 0.000005  loss: 0.5494 (0.5457)  loss_classifier: 0.1978 (0.1964)  loss_box_reg: 0.1837 (0.1859)  loss_objectness: 0.0435 (0.0405)  loss_rpn_box_reg: 0.1172 (0.1228)  time: 1.9953  data: 0.0996  max mem: 11729\n",
      "Epoch: [10]  [ 70/208]  eta: 0:04:53  lr: 0.000005  loss: 0.5523 (0.5503)  loss_classifier: 0.1955 (0.1970)  loss_box_reg: 0.1843 (0.1868)  loss_objectness: 0.0435 (0.0418)  loss_rpn_box_reg: 0.1230 (0.1247)  time: 2.0345  data: 0.1039  max mem: 11729\n",
      "Epoch: [10]  [ 80/208]  eta: 0:04:30  lr: 0.000005  loss: 0.5652 (0.5511)  loss_classifier: 0.2017 (0.1980)  loss_box_reg: 0.1900 (0.1873)  loss_objectness: 0.0411 (0.0414)  loss_rpn_box_reg: 0.1250 (0.1244)  time: 2.0362  data: 0.1025  max mem: 11729\n",
      "Epoch: [10]  [ 90/208]  eta: 0:04:08  lr: 0.000005  loss: 0.5472 (0.5508)  loss_classifier: 0.1952 (0.1974)  loss_box_reg: 0.1900 (0.1874)  loss_objectness: 0.0407 (0.0416)  loss_rpn_box_reg: 0.1194 (0.1244)  time: 2.0083  data: 0.0985  max mem: 11729\n",
      "Epoch: [10]  [100/208]  eta: 0:03:46  lr: 0.000005  loss: 0.5571 (0.5541)  loss_classifier: 0.1931 (0.1979)  loss_box_reg: 0.1889 (0.1882)  loss_objectness: 0.0429 (0.0421)  loss_rpn_box_reg: 0.1242 (0.1258)  time: 2.0546  data: 0.1042  max mem: 11729\n",
      "Epoch: [10]  [110/208]  eta: 0:03:24  lr: 0.000005  loss: 0.5599 (0.5540)  loss_classifier: 0.1974 (0.1979)  loss_box_reg: 0.1944 (0.1884)  loss_objectness: 0.0460 (0.0422)  loss_rpn_box_reg: 0.1223 (0.1255)  time: 2.0427  data: 0.1066  max mem: 11729\n",
      "Epoch: [10]  [120/208]  eta: 0:03:03  lr: 0.000005  loss: 0.5546 (0.5547)  loss_classifier: 0.1965 (0.1981)  loss_box_reg: 0.1928 (0.1890)  loss_objectness: 0.0412 (0.0425)  loss_rpn_box_reg: 0.1171 (0.1251)  time: 2.0062  data: 0.1056  max mem: 11729\n",
      "Epoch: [10]  [130/208]  eta: 0:02:42  lr: 0.000005  loss: 0.5579 (0.5560)  loss_classifier: 0.2065 (0.1988)  loss_box_reg: 0.1962 (0.1897)  loss_objectness: 0.0417 (0.0425)  loss_rpn_box_reg: 0.1173 (0.1250)  time: 2.0266  data: 0.1038  max mem: 11729\n",
      "Epoch: [10]  [140/208]  eta: 0:02:21  lr: 0.000005  loss: 0.5703 (0.5571)  loss_classifier: 0.2036 (0.1991)  loss_box_reg: 0.1989 (0.1903)  loss_objectness: 0.0417 (0.0425)  loss_rpn_box_reg: 0.1254 (0.1252)  time: 2.0211  data: 0.0994  max mem: 11729\n",
      "Epoch: [10]  [150/208]  eta: 0:02:00  lr: 0.000005  loss: 0.5703 (0.5581)  loss_classifier: 0.2036 (0.1996)  loss_box_reg: 0.1975 (0.1907)  loss_objectness: 0.0426 (0.0425)  loss_rpn_box_reg: 0.1216 (0.1252)  time: 1.9971  data: 0.1017  max mem: 11729\n",
      "Epoch: [10]  [160/208]  eta: 0:01:39  lr: 0.000005  loss: 0.5538 (0.5577)  loss_classifier: 0.1969 (0.1996)  loss_box_reg: 0.1937 (0.1908)  loss_objectness: 0.0424 (0.0424)  loss_rpn_box_reg: 0.1212 (0.1249)  time: 2.0216  data: 0.1112  max mem: 11729\n",
      "Epoch: [10]  [170/208]  eta: 0:01:18  lr: 0.000005  loss: 0.5538 (0.5586)  loss_classifier: 0.2000 (0.1999)  loss_box_reg: 0.1940 (0.1912)  loss_objectness: 0.0413 (0.0425)  loss_rpn_box_reg: 0.1226 (0.1250)  time: 2.0339  data: 0.1135  max mem: 11729\n",
      "Epoch: [10]  [180/208]  eta: 0:00:57  lr: 0.000005  loss: 0.5513 (0.5575)  loss_classifier: 0.1905 (0.1994)  loss_box_reg: 0.1939 (0.1911)  loss_objectness: 0.0413 (0.0424)  loss_rpn_box_reg: 0.1213 (0.1246)  time: 1.9960  data: 0.1041  max mem: 11729\n",
      "Epoch: [10]  [190/208]  eta: 0:00:37  lr: 0.000005  loss: 0.5385 (0.5569)  loss_classifier: 0.1909 (0.1993)  loss_box_reg: 0.1905 (0.1908)  loss_objectness: 0.0383 (0.0422)  loss_rpn_box_reg: 0.1193 (0.1247)  time: 2.0173  data: 0.1053  max mem: 11729\n",
      "Epoch: [10]  [200/208]  eta: 0:00:16  lr: 0.000005  loss: 0.5526 (0.5576)  loss_classifier: 0.1971 (0.1995)  loss_box_reg: 0.1838 (0.1909)  loss_objectness: 0.0361 (0.0422)  loss_rpn_box_reg: 0.1222 (0.1249)  time: 2.0340  data: 0.1072  max mem: 11729\n",
      "Epoch: [10]  [207/208]  eta: 0:00:02  lr: 0.000005  loss: 0.5596 (0.5577)  loss_classifier: 0.2006 (0.1996)  loss_box_reg: 0.1901 (0.1910)  loss_objectness: 0.0392 (0.0422)  loss_rpn_box_reg: 0.1222 (0.1249)  time: 1.9201  data: 0.0915  max mem: 11729\n",
      "Epoch: [10] Total time: 0:07:06 (2.0487 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6411 (0.6411)  evaluator_time: 3.3962 (3.3962)  time: 7.9066  data: 3.7406  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6330 (0.5053)  evaluator_time: 3.1528 (2.5939)  time: 4.1615  data: 0.9682  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1807 s / it)\n",
      "Averaged stats: model_time: 0.6330 (0.5053)  evaluator_time: 3.1528 (2.5939)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [11]  [  0/208]  eta: 0:27:34  lr: 0.000005  loss: 0.5220 (0.5220)  loss_classifier: 0.1798 (0.1798)  loss_box_reg: 0.1667 (0.1667)  loss_objectness: 0.0489 (0.0489)  loss_rpn_box_reg: 0.1266 (0.1266)  time: 7.9565  data: 5.4578  max mem: 11729\n",
      "Epoch: [11]  [ 10/208]  eta: 0:08:53  lr: 0.000005  loss: 0.5512 (0.5678)  loss_classifier: 0.2030 (0.2016)  loss_box_reg: 0.1979 (0.1914)  loss_objectness: 0.0433 (0.0445)  loss_rpn_box_reg: 0.1266 (0.1303)  time: 2.6964  data: 0.5986  max mem: 11729\n",
      "Epoch: [11]  [ 20/208]  eta: 0:07:27  lr: 0.000005  loss: 0.5562 (0.5646)  loss_classifier: 0.2011 (0.2010)  loss_box_reg: 0.1971 (0.1922)  loss_objectness: 0.0407 (0.0429)  loss_rpn_box_reg: 0.1238 (0.1285)  time: 2.1039  data: 0.1090  max mem: 11729\n",
      "Epoch: [11]  [ 30/208]  eta: 0:06:44  lr: 0.000005  loss: 0.5562 (0.5620)  loss_classifier: 0.1980 (0.2000)  loss_box_reg: 0.1903 (0.1919)  loss_objectness: 0.0413 (0.0429)  loss_rpn_box_reg: 0.1235 (0.1272)  time: 2.0355  data: 0.1054  max mem: 11729\n",
      "Epoch: [11]  [ 40/208]  eta: 0:06:11  lr: 0.000005  loss: 0.5525 (0.5556)  loss_classifier: 0.1980 (0.1990)  loss_box_reg: 0.1854 (0.1897)  loss_objectness: 0.0401 (0.0416)  loss_rpn_box_reg: 0.1181 (0.1252)  time: 2.0370  data: 0.1026  max mem: 11729\n",
      "Epoch: [11]  [ 50/208]  eta: 0:05:44  lr: 0.000005  loss: 0.5363 (0.5538)  loss_classifier: 0.1958 (0.1984)  loss_box_reg: 0.1823 (0.1896)  loss_objectness: 0.0374 (0.0411)  loss_rpn_box_reg: 0.1179 (0.1247)  time: 2.0378  data: 0.1036  max mem: 11729\n",
      "Epoch: [11]  [ 60/208]  eta: 0:05:18  lr: 0.000005  loss: 0.5527 (0.5557)  loss_classifier: 0.2022 (0.1993)  loss_box_reg: 0.1902 (0.1902)  loss_objectness: 0.0385 (0.0414)  loss_rpn_box_reg: 0.1194 (0.1248)  time: 2.0189  data: 0.1026  max mem: 11729\n",
      "Epoch: [11]  [ 70/208]  eta: 0:04:54  lr: 0.000005  loss: 0.5535 (0.5559)  loss_classifier: 0.2035 (0.1994)  loss_box_reg: 0.1915 (0.1906)  loss_objectness: 0.0395 (0.0415)  loss_rpn_box_reg: 0.1187 (0.1244)  time: 2.0133  data: 0.1038  max mem: 11729\n",
      "Epoch: [11]  [ 80/208]  eta: 0:04:31  lr: 0.000005  loss: 0.5531 (0.5552)  loss_classifier: 0.2003 (0.1994)  loss_box_reg: 0.1911 (0.1904)  loss_objectness: 0.0395 (0.0413)  loss_rpn_box_reg: 0.1187 (0.1240)  time: 2.0265  data: 0.1071  max mem: 11729\n",
      "Epoch: [11]  [ 90/208]  eta: 0:04:08  lr: 0.000005  loss: 0.5576 (0.5563)  loss_classifier: 0.2003 (0.1994)  loss_box_reg: 0.1907 (0.1905)  loss_objectness: 0.0403 (0.0420)  loss_rpn_box_reg: 0.1235 (0.1244)  time: 2.0271  data: 0.1046  max mem: 11729\n",
      "Epoch: [11]  [100/208]  eta: 0:03:46  lr: 0.000005  loss: 0.5566 (0.5551)  loss_classifier: 0.1982 (0.1994)  loss_box_reg: 0.1867 (0.1902)  loss_objectness: 0.0403 (0.0419)  loss_rpn_box_reg: 0.1204 (0.1236)  time: 2.0208  data: 0.1012  max mem: 11729\n",
      "Epoch: [11]  [110/208]  eta: 0:03:25  lr: 0.000005  loss: 0.5434 (0.5557)  loss_classifier: 0.1982 (0.1997)  loss_box_reg: 0.1848 (0.1901)  loss_objectness: 0.0454 (0.0423)  loss_rpn_box_reg: 0.1188 (0.1236)  time: 2.0379  data: 0.1059  max mem: 11729\n",
      "Epoch: [11]  [120/208]  eta: 0:03:03  lr: 0.000005  loss: 0.5527 (0.5567)  loss_classifier: 0.1991 (0.1998)  loss_box_reg: 0.1930 (0.1905)  loss_objectness: 0.0451 (0.0421)  loss_rpn_box_reg: 0.1229 (0.1243)  time: 2.0415  data: 0.1048  max mem: 11729\n",
      "Epoch: [11]  [130/208]  eta: 0:02:42  lr: 0.000005  loss: 0.5570 (0.5582)  loss_classifier: 0.2003 (0.2003)  loss_box_reg: 0.1958 (0.1912)  loss_objectness: 0.0395 (0.0420)  loss_rpn_box_reg: 0.1263 (0.1247)  time: 2.0347  data: 0.1013  max mem: 11729\n",
      "Epoch: [11]  [140/208]  eta: 0:02:21  lr: 0.000005  loss: 0.5720 (0.5596)  loss_classifier: 0.2029 (0.2005)  loss_box_reg: 0.1958 (0.1916)  loss_objectness: 0.0395 (0.0421)  loss_rpn_box_reg: 0.1287 (0.1254)  time: 2.0446  data: 0.1072  max mem: 11729\n",
      "Epoch: [11]  [150/208]  eta: 0:02:00  lr: 0.000005  loss: 0.5519 (0.5585)  loss_classifier: 0.2000 (0.2002)  loss_box_reg: 0.1933 (0.1915)  loss_objectness: 0.0409 (0.0419)  loss_rpn_box_reg: 0.1218 (0.1249)  time: 2.0125  data: 0.1014  max mem: 11729\n",
      "Epoch: [11]  [160/208]  eta: 0:01:39  lr: 0.000005  loss: 0.5502 (0.5573)  loss_classifier: 0.1973 (0.1998)  loss_box_reg: 0.1905 (0.1911)  loss_objectness: 0.0409 (0.0420)  loss_rpn_box_reg: 0.1137 (0.1243)  time: 2.0061  data: 0.0961  max mem: 11729\n",
      "Epoch: [11]  [170/208]  eta: 0:01:18  lr: 0.000005  loss: 0.5502 (0.5574)  loss_classifier: 0.1971 (0.1995)  loss_box_reg: 0.1878 (0.1910)  loss_objectness: 0.0408 (0.0422)  loss_rpn_box_reg: 0.1222 (0.1247)  time: 2.0458  data: 0.1081  max mem: 11729\n",
      "Epoch: [11]  [180/208]  eta: 0:00:57  lr: 0.000005  loss: 0.5563 (0.5574)  loss_classifier: 0.1988 (0.1995)  loss_box_reg: 0.1905 (0.1909)  loss_objectness: 0.0408 (0.0422)  loss_rpn_box_reg: 0.1273 (0.1248)  time: 2.0283  data: 0.1087  max mem: 11729\n",
      "Epoch: [11]  [190/208]  eta: 0:00:37  lr: 0.000005  loss: 0.5563 (0.5579)  loss_classifier: 0.1988 (0.1996)  loss_box_reg: 0.1915 (0.1910)  loss_objectness: 0.0409 (0.0423)  loss_rpn_box_reg: 0.1267 (0.1250)  time: 2.0557  data: 0.1152  max mem: 11729\n",
      "Epoch: [11]  [200/208]  eta: 0:00:16  lr: 0.000005  loss: 0.5552 (0.5571)  loss_classifier: 0.1961 (0.1993)  loss_box_reg: 0.1887 (0.1908)  loss_objectness: 0.0409 (0.0421)  loss_rpn_box_reg: 0.1274 (0.1249)  time: 2.0497  data: 0.1140  max mem: 11729\n",
      "Epoch: [11]  [207/208]  eta: 0:00:02  lr: 0.000005  loss: 0.5415 (0.5567)  loss_classifier: 0.1961 (0.1993)  loss_box_reg: 0.1887 (0.1908)  loss_objectness: 0.0390 (0.0420)  loss_rpn_box_reg: 0.1231 (0.1247)  time: 1.9433  data: 0.0956  max mem: 11729\n",
      "Epoch: [11] Total time: 0:07:07 (2.0569 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6407 (0.6407)  evaluator_time: 3.6125 (3.6125)  time: 8.2213  data: 3.8515  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6307 (0.5064)  evaluator_time: 3.3753 (2.6347)  time: 4.2121  data: 0.9795  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.2309 s / it)\n",
      "Averaged stats: model_time: 0.6307 (0.5064)  evaluator_time: 3.3753 (2.6347)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [12]  [  0/208]  eta: 0:25:32  lr: 0.000001  loss: 0.4631 (0.4631)  loss_classifier: 0.1706 (0.1706)  loss_box_reg: 0.1570 (0.1570)  loss_objectness: 0.0330 (0.0330)  loss_rpn_box_reg: 0.1024 (0.1024)  time: 7.3668  data: 4.7847  max mem: 11729\n",
      "Epoch: [12]  [ 10/208]  eta: 0:08:41  lr: 0.000001  loss: 0.5401 (0.5353)  loss_classifier: 0.1902 (0.1947)  loss_box_reg: 0.1873 (0.1854)  loss_objectness: 0.0335 (0.0369)  loss_rpn_box_reg: 0.1158 (0.1184)  time: 2.6353  data: 0.5514  max mem: 11729\n",
      "Epoch: [12]  [ 20/208]  eta: 0:07:28  lr: 0.000001  loss: 0.5437 (0.5429)  loss_classifier: 0.1902 (0.1930)  loss_box_reg: 0.1873 (0.1861)  loss_objectness: 0.0385 (0.0400)  loss_rpn_box_reg: 0.1227 (0.1238)  time: 2.1358  data: 0.1271  max mem: 11729\n",
      "Epoch: [12]  [ 30/208]  eta: 0:06:43  lr: 0.000001  loss: 0.5437 (0.5427)  loss_classifier: 0.1930 (0.1938)  loss_box_reg: 0.1885 (0.1871)  loss_objectness: 0.0367 (0.0388)  loss_rpn_box_reg: 0.1233 (0.1231)  time: 2.0654  data: 0.1157  max mem: 11729\n",
      "Epoch: [12]  [ 40/208]  eta: 0:06:08  lr: 0.000001  loss: 0.5461 (0.5447)  loss_classifier: 0.1987 (0.1951)  loss_box_reg: 0.1889 (0.1882)  loss_objectness: 0.0376 (0.0395)  loss_rpn_box_reg: 0.1201 (0.1219)  time: 1.9972  data: 0.1025  max mem: 11729\n",
      "Epoch: [12]  [ 50/208]  eta: 0:05:43  lr: 0.000001  loss: 0.5396 (0.5436)  loss_classifier: 0.1995 (0.1953)  loss_box_reg: 0.1886 (0.1876)  loss_objectness: 0.0409 (0.0393)  loss_rpn_box_reg: 0.1186 (0.1214)  time: 2.0338  data: 0.1046  max mem: 11729\n",
      "Epoch: [12]  [ 60/208]  eta: 0:05:17  lr: 0.000001  loss: 0.5353 (0.5448)  loss_classifier: 0.1970 (0.1961)  loss_box_reg: 0.1886 (0.1884)  loss_objectness: 0.0386 (0.0393)  loss_rpn_box_reg: 0.1185 (0.1210)  time: 2.0501  data: 0.1050  max mem: 11729\n",
      "Epoch: [12]  [ 70/208]  eta: 0:04:53  lr: 0.000001  loss: 0.5658 (0.5488)  loss_classifier: 0.2045 (0.1979)  loss_box_reg: 0.1976 (0.1898)  loss_objectness: 0.0386 (0.0395)  loss_rpn_box_reg: 0.1196 (0.1216)  time: 1.9940  data: 0.1010  max mem: 11729\n",
      "Epoch: [12]  [ 80/208]  eta: 0:04:31  lr: 0.000001  loss: 0.5610 (0.5499)  loss_classifier: 0.2033 (0.1979)  loss_box_reg: 0.1960 (0.1895)  loss_objectness: 0.0380 (0.0402)  loss_rpn_box_reg: 0.1235 (0.1223)  time: 2.0387  data: 0.1029  max mem: 11729\n",
      "Epoch: [12]  [ 90/208]  eta: 0:04:08  lr: 0.000001  loss: 0.5492 (0.5512)  loss_classifier: 0.1978 (0.1983)  loss_box_reg: 0.1840 (0.1898)  loss_objectness: 0.0425 (0.0407)  loss_rpn_box_reg: 0.1235 (0.1225)  time: 2.0390  data: 0.1018  max mem: 11729\n",
      "Epoch: [12]  [100/208]  eta: 0:03:46  lr: 0.000001  loss: 0.5484 (0.5508)  loss_classifier: 0.1978 (0.1981)  loss_box_reg: 0.1897 (0.1897)  loss_objectness: 0.0408 (0.0407)  loss_rpn_box_reg: 0.1193 (0.1224)  time: 1.9907  data: 0.1014  max mem: 11729\n",
      "Epoch: [12]  [110/208]  eta: 0:03:24  lr: 0.000001  loss: 0.5343 (0.5499)  loss_classifier: 0.1950 (0.1976)  loss_box_reg: 0.1880 (0.1895)  loss_objectness: 0.0353 (0.0406)  loss_rpn_box_reg: 0.1193 (0.1221)  time: 2.0275  data: 0.1095  max mem: 11729\n",
      "Epoch: [12]  [120/208]  eta: 0:03:03  lr: 0.000001  loss: 0.5519 (0.5515)  loss_classifier: 0.1955 (0.1979)  loss_box_reg: 0.1880 (0.1899)  loss_objectness: 0.0386 (0.0409)  loss_rpn_box_reg: 0.1231 (0.1228)  time: 2.0306  data: 0.1075  max mem: 11729\n",
      "Epoch: [12]  [130/208]  eta: 0:02:42  lr: 0.000001  loss: 0.5588 (0.5526)  loss_classifier: 0.1988 (0.1984)  loss_box_reg: 0.1945 (0.1904)  loss_objectness: 0.0430 (0.0410)  loss_rpn_box_reg: 0.1227 (0.1229)  time: 1.9982  data: 0.1029  max mem: 11729\n",
      "Epoch: [12]  [140/208]  eta: 0:02:21  lr: 0.000001  loss: 0.5688 (0.5536)  loss_classifier: 0.1988 (0.1987)  loss_box_reg: 0.1919 (0.1904)  loss_objectness: 0.0455 (0.0413)  loss_rpn_box_reg: 0.1227 (0.1232)  time: 2.0281  data: 0.1057  max mem: 11729\n",
      "Epoch: [12]  [150/208]  eta: 0:02:00  lr: 0.000001  loss: 0.5670 (0.5540)  loss_classifier: 0.1988 (0.1989)  loss_box_reg: 0.1902 (0.1905)  loss_objectness: 0.0426 (0.0413)  loss_rpn_box_reg: 0.1289 (0.1233)  time: 2.0462  data: 0.1015  max mem: 11729\n",
      "Epoch: [12]  [160/208]  eta: 0:01:39  lr: 0.000001  loss: 0.5645 (0.5542)  loss_classifier: 0.1992 (0.1988)  loss_box_reg: 0.1915 (0.1907)  loss_objectness: 0.0387 (0.0414)  loss_rpn_box_reg: 0.1229 (0.1233)  time: 2.0110  data: 0.1043  max mem: 11729\n",
      "Epoch: [12]  [170/208]  eta: 0:01:18  lr: 0.000001  loss: 0.5581 (0.5543)  loss_classifier: 0.1952 (0.1987)  loss_box_reg: 0.1928 (0.1908)  loss_objectness: 0.0387 (0.0415)  loss_rpn_box_reg: 0.1248 (0.1234)  time: 2.0243  data: 0.1103  max mem: 11729\n",
      "Epoch: [12]  [180/208]  eta: 0:00:57  lr: 0.000001  loss: 0.5640 (0.5555)  loss_classifier: 0.2014 (0.1990)  loss_box_reg: 0.1928 (0.1910)  loss_objectness: 0.0439 (0.0417)  loss_rpn_box_reg: 0.1248 (0.1238)  time: 2.0353  data: 0.1040  max mem: 11729\n",
      "Epoch: [12]  [190/208]  eta: 0:00:37  lr: 0.000001  loss: 0.5636 (0.5558)  loss_classifier: 0.2039 (0.1992)  loss_box_reg: 0.1902 (0.1909)  loss_objectness: 0.0426 (0.0419)  loss_rpn_box_reg: 0.1222 (0.1238)  time: 2.0381  data: 0.0982  max mem: 11729\n",
      "Epoch: [12]  [200/208]  eta: 0:00:16  lr: 0.000001  loss: 0.5632 (0.5570)  loss_classifier: 0.2081 (0.1996)  loss_box_reg: 0.1902 (0.1912)  loss_objectness: 0.0426 (0.0421)  loss_rpn_box_reg: 0.1267 (0.1242)  time: 2.0470  data: 0.0969  max mem: 11729\n",
      "Epoch: [12]  [207/208]  eta: 0:00:02  lr: 0.000001  loss: 0.5636 (0.5573)  loss_classifier: 0.2015 (0.1995)  loss_box_reg: 0.1900 (0.1909)  loss_objectness: 0.0427 (0.0422)  loss_rpn_box_reg: 0.1305 (0.1247)  time: 1.9525  data: 0.0868  max mem: 11729\n",
      "Epoch: [12] Total time: 0:07:06 (2.0528 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6509 (0.6509)  evaluator_time: 3.3916 (3.3916)  time: 8.2091  data: 3.9897  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6296 (0.5072)  evaluator_time: 3.1388 (2.5078)  time: 4.1586  data: 1.0382  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1764 s / it)\n",
      "Averaged stats: model_time: 0.6296 (0.5072)  evaluator_time: 3.1388 (2.5078)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [13]  [  0/208]  eta: 0:27:03  lr: 0.000001  loss: 0.5406 (0.5406)  loss_classifier: 0.1865 (0.1865)  loss_box_reg: 0.1757 (0.1757)  loss_objectness: 0.0427 (0.0427)  loss_rpn_box_reg: 0.1357 (0.1357)  time: 7.8074  data: 5.3057  max mem: 11729\n",
      "Epoch: [13]  [ 10/208]  eta: 0:08:48  lr: 0.000001  loss: 0.5406 (0.5527)  loss_classifier: 0.1980 (0.1993)  loss_box_reg: 0.1855 (0.1921)  loss_objectness: 0.0404 (0.0411)  loss_rpn_box_reg: 0.1193 (0.1202)  time: 2.6681  data: 0.6266  max mem: 11729\n",
      "Epoch: [13]  [ 20/208]  eta: 0:07:30  lr: 0.000001  loss: 0.5442 (0.5562)  loss_classifier: 0.1980 (0.1992)  loss_box_reg: 0.1888 (0.1915)  loss_objectness: 0.0404 (0.0420)  loss_rpn_box_reg: 0.1193 (0.1235)  time: 2.1241  data: 0.1411  max mem: 11729\n",
      "Epoch: [13]  [ 30/208]  eta: 0:06:42  lr: 0.000001  loss: 0.5509 (0.5568)  loss_classifier: 0.1996 (0.1987)  loss_box_reg: 0.1889 (0.1914)  loss_objectness: 0.0436 (0.0427)  loss_rpn_box_reg: 0.1233 (0.1239)  time: 2.0401  data: 0.1100  max mem: 11729\n",
      "Epoch: [13]  [ 40/208]  eta: 0:06:08  lr: 0.000001  loss: 0.5482 (0.5560)  loss_classifier: 0.2020 (0.1993)  loss_box_reg: 0.1874 (0.1900)  loss_objectness: 0.0396 (0.0423)  loss_rpn_box_reg: 0.1233 (0.1244)  time: 1.9837  data: 0.0979  max mem: 11729\n",
      "Epoch: [13]  [ 50/208]  eta: 0:05:42  lr: 0.000001  loss: 0.5540 (0.5597)  loss_classifier: 0.2026 (0.2002)  loss_box_reg: 0.1897 (0.1910)  loss_objectness: 0.0396 (0.0431)  loss_rpn_box_reg: 0.1200 (0.1255)  time: 2.0186  data: 0.1058  max mem: 11729\n",
      "Epoch: [13]  [ 60/208]  eta: 0:05:17  lr: 0.000001  loss: 0.5633 (0.5602)  loss_classifier: 0.2035 (0.2010)  loss_box_reg: 0.1926 (0.1911)  loss_objectness: 0.0436 (0.0430)  loss_rpn_box_reg: 0.1246 (0.1250)  time: 2.0353  data: 0.1066  max mem: 11729\n",
      "Epoch: [13]  [ 70/208]  eta: 0:04:53  lr: 0.000001  loss: 0.5560 (0.5589)  loss_classifier: 0.1998 (0.2005)  loss_box_reg: 0.1913 (0.1909)  loss_objectness: 0.0374 (0.0424)  loss_rpn_box_reg: 0.1238 (0.1252)  time: 2.0125  data: 0.1013  max mem: 11729\n",
      "Epoch: [13]  [ 80/208]  eta: 0:04:30  lr: 0.000001  loss: 0.5423 (0.5575)  loss_classifier: 0.1933 (0.1998)  loss_box_reg: 0.1878 (0.1905)  loss_objectness: 0.0371 (0.0422)  loss_rpn_box_reg: 0.1238 (0.1250)  time: 2.0398  data: 0.1035  max mem: 11729\n",
      "Epoch: [13]  [ 90/208]  eta: 0:04:08  lr: 0.000001  loss: 0.5482 (0.5593)  loss_classifier: 0.1964 (0.2002)  loss_box_reg: 0.1893 (0.1915)  loss_objectness: 0.0421 (0.0423)  loss_rpn_box_reg: 0.1284 (0.1253)  time: 2.0379  data: 0.1055  max mem: 11729\n",
      "Epoch: [13]  [100/208]  eta: 0:03:46  lr: 0.000001  loss: 0.5695 (0.5602)  loss_classifier: 0.2010 (0.2008)  loss_box_reg: 0.1989 (0.1920)  loss_objectness: 0.0425 (0.0424)  loss_rpn_box_reg: 0.1307 (0.1251)  time: 2.0142  data: 0.1035  max mem: 11729\n",
      "Epoch: [13]  [110/208]  eta: 0:03:25  lr: 0.000001  loss: 0.5717 (0.5598)  loss_classifier: 0.1993 (0.2006)  loss_box_reg: 0.1924 (0.1915)  loss_objectness: 0.0425 (0.0424)  loss_rpn_box_reg: 0.1250 (0.1253)  time: 2.0630  data: 0.1016  max mem: 11729\n",
      "Epoch: [13]  [120/208]  eta: 0:03:03  lr: 0.000001  loss: 0.5456 (0.5591)  loss_classifier: 0.1941 (0.2003)  loss_box_reg: 0.1841 (0.1913)  loss_objectness: 0.0409 (0.0422)  loss_rpn_box_reg: 0.1255 (0.1253)  time: 2.0497  data: 0.1028  max mem: 11729\n",
      "Epoch: [13]  [130/208]  eta: 0:02:42  lr: 0.000001  loss: 0.5456 (0.5597)  loss_classifier: 0.2004 (0.2012)  loss_box_reg: 0.1876 (0.1915)  loss_objectness: 0.0385 (0.0422)  loss_rpn_box_reg: 0.1228 (0.1248)  time: 2.0039  data: 0.1021  max mem: 11729\n",
      "Epoch: [13]  [140/208]  eta: 0:02:21  lr: 0.000001  loss: 0.5412 (0.5582)  loss_classifier: 0.1993 (0.2005)  loss_box_reg: 0.1876 (0.1909)  loss_objectness: 0.0385 (0.0421)  loss_rpn_box_reg: 0.1183 (0.1246)  time: 2.0444  data: 0.1041  max mem: 11729\n",
      "Epoch: [13]  [150/208]  eta: 0:02:00  lr: 0.000001  loss: 0.5515 (0.5591)  loss_classifier: 0.1991 (0.2009)  loss_box_reg: 0.1926 (0.1913)  loss_objectness: 0.0401 (0.0421)  loss_rpn_box_reg: 0.1196 (0.1248)  time: 2.0502  data: 0.1044  max mem: 11729\n",
      "Epoch: [13]  [160/208]  eta: 0:01:39  lr: 0.000001  loss: 0.5600 (0.5586)  loss_classifier: 0.1991 (0.2005)  loss_box_reg: 0.1917 (0.1911)  loss_objectness: 0.0402 (0.0423)  loss_rpn_box_reg: 0.1215 (0.1246)  time: 2.0120  data: 0.1020  max mem: 11729\n",
      "Epoch: [13]  [170/208]  eta: 0:01:18  lr: 0.000001  loss: 0.5522 (0.5588)  loss_classifier: 0.1991 (0.2007)  loss_box_reg: 0.1886 (0.1912)  loss_objectness: 0.0430 (0.0422)  loss_rpn_box_reg: 0.1210 (0.1247)  time: 2.0344  data: 0.1027  max mem: 11729\n",
      "Epoch: [13]  [180/208]  eta: 0:00:57  lr: 0.000001  loss: 0.5622 (0.5591)  loss_classifier: 0.2011 (0.2006)  loss_box_reg: 0.1925 (0.1913)  loss_objectness: 0.0422 (0.0423)  loss_rpn_box_reg: 0.1234 (0.1249)  time: 2.0400  data: 0.1019  max mem: 11729\n",
      "Epoch: [13]  [190/208]  eta: 0:00:37  lr: 0.000001  loss: 0.5607 (0.5590)  loss_classifier: 0.1950 (0.2002)  loss_box_reg: 0.1893 (0.1913)  loss_objectness: 0.0413 (0.0423)  loss_rpn_box_reg: 0.1245 (0.1252)  time: 1.9922  data: 0.1019  max mem: 11729\n",
      "Epoch: [13]  [200/208]  eta: 0:00:16  lr: 0.000001  loss: 0.5458 (0.5576)  loss_classifier: 0.1923 (0.2000)  loss_box_reg: 0.1852 (0.1909)  loss_objectness: 0.0379 (0.0421)  loss_rpn_box_reg: 0.1179 (0.1246)  time: 2.0102  data: 0.1096  max mem: 11729\n",
      "Epoch: [13]  [207/208]  eta: 0:00:02  lr: 0.000001  loss: 0.5458 (0.5579)  loss_classifier: 0.1978 (0.2000)  loss_box_reg: 0.1836 (0.1908)  loss_objectness: 0.0396 (0.0422)  loss_rpn_box_reg: 0.1179 (0.1248)  time: 1.9252  data: 0.0975  max mem: 11729\n",
      "Epoch: [13] Total time: 0:07:07 (2.0537 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:32  model_time: 0.6500 (0.6500)  evaluator_time: 3.7279 (3.7279)  time: 8.2353  data: 3.7404  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6378 (0.5090)  evaluator_time: 3.2446 (2.7092)  time: 4.2643  data: 0.9519  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.2818 s / it)\n",
      "Averaged stats: model_time: 0.6378 (0.5090)  evaluator_time: 3.2446 (2.7092)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [14]  [  0/208]  eta: 0:25:48  lr: 0.000001  loss: 0.5521 (0.5521)  loss_classifier: 0.2013 (0.2013)  loss_box_reg: 0.1837 (0.1837)  loss_objectness: 0.0398 (0.0398)  loss_rpn_box_reg: 0.1274 (0.1274)  time: 7.4432  data: 5.0278  max mem: 11729\n",
      "Epoch: [14]  [ 10/208]  eta: 0:08:42  lr: 0.000001  loss: 0.5603 (0.5720)  loss_classifier: 0.2092 (0.2092)  loss_box_reg: 0.1913 (0.1927)  loss_objectness: 0.0405 (0.0427)  loss_rpn_box_reg: 0.1234 (0.1274)  time: 2.6381  data: 0.5722  max mem: 11729\n",
      "Epoch: [14]  [ 20/208]  eta: 0:07:18  lr: 0.000001  loss: 0.5603 (0.5700)  loss_classifier: 0.2076 (0.2048)  loss_box_reg: 0.1918 (0.1930)  loss_objectness: 0.0397 (0.0443)  loss_rpn_box_reg: 0.1185 (0.1279)  time: 2.0786  data: 0.1118  max mem: 11729\n",
      "Epoch: [14]  [ 30/208]  eta: 0:06:41  lr: 0.000001  loss: 0.5556 (0.5613)  loss_classifier: 0.1958 (0.2008)  loss_box_reg: 0.1914 (0.1902)  loss_objectness: 0.0397 (0.0433)  loss_rpn_box_reg: 0.1235 (0.1270)  time: 2.0469  data: 0.1079  max mem: 11729\n",
      "Epoch: [14]  [ 40/208]  eta: 0:06:08  lr: 0.000001  loss: 0.5557 (0.5638)  loss_classifier: 0.1990 (0.2023)  loss_box_reg: 0.1936 (0.1927)  loss_objectness: 0.0398 (0.0432)  loss_rpn_box_reg: 0.1244 (0.1257)  time: 2.0480  data: 0.1112  max mem: 11729\n",
      "Epoch: [14]  [ 50/208]  eta: 0:05:41  lr: 0.000001  loss: 0.5551 (0.5623)  loss_classifier: 0.2033 (0.2022)  loss_box_reg: 0.1950 (0.1931)  loss_objectness: 0.0395 (0.0427)  loss_rpn_box_reg: 0.1219 (0.1243)  time: 2.0173  data: 0.1072  max mem: 11729\n",
      "Epoch: [14]  [ 60/208]  eta: 0:05:17  lr: 0.000001  loss: 0.5481 (0.5589)  loss_classifier: 0.1972 (0.2009)  loss_box_reg: 0.1896 (0.1915)  loss_objectness: 0.0401 (0.0426)  loss_rpn_box_reg: 0.1226 (0.1239)  time: 2.0346  data: 0.1125  max mem: 11729\n",
      "Epoch: [14]  [ 70/208]  eta: 0:04:53  lr: 0.000001  loss: 0.5481 (0.5571)  loss_classifier: 0.1929 (0.1999)  loss_box_reg: 0.1844 (0.1903)  loss_objectness: 0.0435 (0.0429)  loss_rpn_box_reg: 0.1240 (0.1240)  time: 2.0278  data: 0.1101  max mem: 11729\n",
      "Epoch: [14]  [ 80/208]  eta: 0:04:30  lr: 0.000001  loss: 0.5454 (0.5556)  loss_classifier: 0.1929 (0.1991)  loss_box_reg: 0.1815 (0.1892)  loss_objectness: 0.0423 (0.0429)  loss_rpn_box_reg: 0.1247 (0.1244)  time: 2.0312  data: 0.1063  max mem: 11729\n",
      "Epoch: [14]  [ 90/208]  eta: 0:04:08  lr: 0.000001  loss: 0.5303 (0.5545)  loss_classifier: 0.1938 (0.1990)  loss_box_reg: 0.1803 (0.1890)  loss_objectness: 0.0423 (0.0427)  loss_rpn_box_reg: 0.1221 (0.1238)  time: 2.0321  data: 0.1075  max mem: 11729\n",
      "Epoch: [14]  [100/208]  eta: 0:03:46  lr: 0.000001  loss: 0.5549 (0.5559)  loss_classifier: 0.1969 (0.1995)  loss_box_reg: 0.1926 (0.1893)  loss_objectness: 0.0427 (0.0431)  loss_rpn_box_reg: 0.1197 (0.1240)  time: 2.0040  data: 0.1056  max mem: 11729\n",
      "Epoch: [14]  [110/208]  eta: 0:03:24  lr: 0.000001  loss: 0.5582 (0.5570)  loss_classifier: 0.1990 (0.2000)  loss_box_reg: 0.1957 (0.1899)  loss_objectness: 0.0436 (0.0429)  loss_rpn_box_reg: 0.1221 (0.1243)  time: 2.0044  data: 0.1062  max mem: 11729\n",
      "Epoch: [14]  [120/208]  eta: 0:03:03  lr: 0.000001  loss: 0.5582 (0.5573)  loss_classifier: 0.2028 (0.2002)  loss_box_reg: 0.1953 (0.1901)  loss_objectness: 0.0413 (0.0426)  loss_rpn_box_reg: 0.1225 (0.1244)  time: 2.0198  data: 0.1043  max mem: 11729\n",
      "Epoch: [14]  [130/208]  eta: 0:02:42  lr: 0.000001  loss: 0.5593 (0.5571)  loss_classifier: 0.2022 (0.1998)  loss_box_reg: 0.1953 (0.1902)  loss_objectness: 0.0410 (0.0426)  loss_rpn_box_reg: 0.1244 (0.1245)  time: 2.0278  data: 0.1036  max mem: 11729\n",
      "Epoch: [14]  [140/208]  eta: 0:02:21  lr: 0.000001  loss: 0.5669 (0.5587)  loss_classifier: 0.1997 (0.2000)  loss_box_reg: 0.1939 (0.1906)  loss_objectness: 0.0415 (0.0431)  loss_rpn_box_reg: 0.1245 (0.1251)  time: 2.0322  data: 0.1131  max mem: 11729\n",
      "Epoch: [14]  [150/208]  eta: 0:02:00  lr: 0.000001  loss: 0.5652 (0.5582)  loss_classifier: 0.1966 (0.1997)  loss_box_reg: 0.1833 (0.1903)  loss_objectness: 0.0477 (0.0431)  loss_rpn_box_reg: 0.1266 (0.1250)  time: 2.0326  data: 0.1130  max mem: 11729\n",
      "Epoch: [14]  [160/208]  eta: 0:01:39  lr: 0.000001  loss: 0.5559 (0.5594)  loss_classifier: 0.1989 (0.2001)  loss_box_reg: 0.1927 (0.1909)  loss_objectness: 0.0425 (0.0430)  loss_rpn_box_reg: 0.1269 (0.1253)  time: 2.0255  data: 0.1039  max mem: 11729\n",
      "Epoch: [14]  [170/208]  eta: 0:01:18  lr: 0.000001  loss: 0.5577 (0.5586)  loss_classifier: 0.1974 (0.1998)  loss_box_reg: 0.1931 (0.1906)  loss_objectness: 0.0387 (0.0428)  loss_rpn_box_reg: 0.1262 (0.1255)  time: 2.0264  data: 0.1072  max mem: 11729\n",
      "Epoch: [14]  [180/208]  eta: 0:00:57  lr: 0.000001  loss: 0.5458 (0.5577)  loss_classifier: 0.1957 (0.1997)  loss_box_reg: 0.1864 (0.1903)  loss_objectness: 0.0382 (0.0426)  loss_rpn_box_reg: 0.1203 (0.1251)  time: 2.0486  data: 0.1178  max mem: 11729\n",
      "Epoch: [14]  [190/208]  eta: 0:00:37  lr: 0.000001  loss: 0.5365 (0.5572)  loss_classifier: 0.1939 (0.1997)  loss_box_reg: 0.1864 (0.1902)  loss_objectness: 0.0398 (0.0425)  loss_rpn_box_reg: 0.1190 (0.1248)  time: 2.0269  data: 0.1125  max mem: 11729\n",
      "Epoch: [14]  [200/208]  eta: 0:00:16  lr: 0.000001  loss: 0.5427 (0.5569)  loss_classifier: 0.1982 (0.1997)  loss_box_reg: 0.1904 (0.1901)  loss_objectness: 0.0392 (0.0423)  loss_rpn_box_reg: 0.1212 (0.1248)  time: 2.0021  data: 0.1096  max mem: 11729\n",
      "Epoch: [14]  [207/208]  eta: 0:00:02  lr: 0.000001  loss: 0.5464 (0.5574)  loss_classifier: 0.2002 (0.2000)  loss_box_reg: 0.1864 (0.1904)  loss_objectness: 0.0355 (0.0421)  loss_rpn_box_reg: 0.1243 (0.1249)  time: 1.9220  data: 0.1020  max mem: 11729\n",
      "Epoch: [14] Total time: 0:07:06 (2.0499 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6521 (0.6521)  evaluator_time: 3.2919 (3.2919)  time: 7.8371  data: 3.7453  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6378 (0.5103)  evaluator_time: 3.2919 (2.7216)  time: 4.3088  data: 0.9780  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3272 s / it)\n",
      "Averaged stats: model_time: 0.6378 (0.5103)  evaluator_time: 3.2919 (2.7216)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [15]  [  0/208]  eta: 0:26:28  lr: 0.000000  loss: 0.6068 (0.6068)  loss_classifier: 0.2168 (0.2168)  loss_box_reg: 0.2010 (0.2010)  loss_objectness: 0.0496 (0.0496)  loss_rpn_box_reg: 0.1394 (0.1394)  time: 7.6352  data: 5.0454  max mem: 11729\n",
      "Epoch: [15]  [ 10/208]  eta: 0:08:51  lr: 0.000000  loss: 0.5691 (0.5721)  loss_classifier: 0.2061 (0.2068)  loss_box_reg: 0.1933 (0.1956)  loss_objectness: 0.0425 (0.0426)  loss_rpn_box_reg: 0.1261 (0.1272)  time: 2.6841  data: 0.6213  max mem: 11729\n",
      "Epoch: [15]  [ 20/208]  eta: 0:07:24  lr: 0.000000  loss: 0.5699 (0.5694)  loss_classifier: 0.2055 (0.2055)  loss_box_reg: 0.1941 (0.1945)  loss_objectness: 0.0424 (0.0428)  loss_rpn_box_reg: 0.1243 (0.1266)  time: 2.0985  data: 0.1415  max mem: 11729\n",
      "Epoch: [15]  [ 30/208]  eta: 0:06:44  lr: 0.000000  loss: 0.5699 (0.5673)  loss_classifier: 0.2055 (0.2048)  loss_box_reg: 0.1973 (0.1952)  loss_objectness: 0.0400 (0.0420)  loss_rpn_box_reg: 0.1239 (0.1252)  time: 2.0502  data: 0.1095  max mem: 11729\n",
      "Epoch: [15]  [ 40/208]  eta: 0:06:10  lr: 0.000000  loss: 0.5499 (0.5642)  loss_classifier: 0.1963 (0.2023)  loss_box_reg: 0.1863 (0.1936)  loss_objectness: 0.0423 (0.0426)  loss_rpn_box_reg: 0.1215 (0.1257)  time: 2.0396  data: 0.1100  max mem: 11729\n",
      "Epoch: [15]  [ 50/208]  eta: 0:05:42  lr: 0.000000  loss: 0.5499 (0.5607)  loss_classifier: 0.1927 (0.2003)  loss_box_reg: 0.1856 (0.1921)  loss_objectness: 0.0423 (0.0432)  loss_rpn_box_reg: 0.1212 (0.1251)  time: 1.9943  data: 0.1017  max mem: 11729\n",
      "Epoch: [15]  [ 60/208]  eta: 0:05:17  lr: 0.000000  loss: 0.5453 (0.5577)  loss_classifier: 0.1927 (0.1993)  loss_box_reg: 0.1918 (0.1916)  loss_objectness: 0.0363 (0.0422)  loss_rpn_box_reg: 0.1190 (0.1246)  time: 2.0283  data: 0.1043  max mem: 11729\n",
      "Epoch: [15]  [ 70/208]  eta: 0:04:52  lr: 0.000000  loss: 0.5453 (0.5550)  loss_classifier: 0.1949 (0.1987)  loss_box_reg: 0.1880 (0.1909)  loss_objectness: 0.0336 (0.0416)  loss_rpn_box_reg: 0.1181 (0.1238)  time: 2.0149  data: 0.1038  max mem: 11729\n",
      "Epoch: [15]  [ 80/208]  eta: 0:04:29  lr: 0.000000  loss: 0.5575 (0.5576)  loss_classifier: 0.1987 (0.1995)  loss_box_reg: 0.1907 (0.1918)  loss_objectness: 0.0416 (0.0421)  loss_rpn_box_reg: 0.1222 (0.1242)  time: 1.9874  data: 0.1004  max mem: 11729\n",
      "Epoch: [15]  [ 90/208]  eta: 0:04:08  lr: 0.000000  loss: 0.5757 (0.5582)  loss_classifier: 0.2083 (0.1996)  loss_box_reg: 0.1943 (0.1920)  loss_objectness: 0.0434 (0.0421)  loss_rpn_box_reg: 0.1251 (0.1245)  time: 2.0390  data: 0.1062  max mem: 11729\n",
      "Epoch: [15]  [100/208]  eta: 0:03:46  lr: 0.000000  loss: 0.5583 (0.5585)  loss_classifier: 0.1952 (0.1996)  loss_box_reg: 0.1902 (0.1922)  loss_objectness: 0.0425 (0.0422)  loss_rpn_box_reg: 0.1225 (0.1245)  time: 2.0454  data: 0.1055  max mem: 11729\n",
      "Epoch: [15]  [110/208]  eta: 0:03:24  lr: 0.000000  loss: 0.5609 (0.5595)  loss_classifier: 0.2009 (0.2000)  loss_box_reg: 0.1913 (0.1925)  loss_objectness: 0.0413 (0.0421)  loss_rpn_box_reg: 0.1229 (0.1249)  time: 2.0120  data: 0.1001  max mem: 11729\n",
      "Epoch: [15]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5663 (0.5610)  loss_classifier: 0.2018 (0.2002)  loss_box_reg: 0.1927 (0.1926)  loss_objectness: 0.0396 (0.0424)  loss_rpn_box_reg: 0.1273 (0.1258)  time: 2.0421  data: 0.0979  max mem: 11729\n",
      "Epoch: [15]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5555 (0.5594)  loss_classifier: 0.1993 (0.2000)  loss_box_reg: 0.1857 (0.1920)  loss_objectness: 0.0396 (0.0422)  loss_rpn_box_reg: 0.1219 (0.1252)  time: 2.0275  data: 0.0975  max mem: 11729\n",
      "Epoch: [15]  [140/208]  eta: 0:02:20  lr: 0.000000  loss: 0.5340 (0.5587)  loss_classifier: 0.1937 (0.1997)  loss_box_reg: 0.1884 (0.1920)  loss_objectness: 0.0391 (0.0421)  loss_rpn_box_reg: 0.1179 (0.1249)  time: 1.9914  data: 0.0994  max mem: 11729\n",
      "Epoch: [15]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5337 (0.5580)  loss_classifier: 0.1976 (0.1997)  loss_box_reg: 0.1884 (0.1918)  loss_objectness: 0.0391 (0.0418)  loss_rpn_box_reg: 0.1196 (0.1248)  time: 2.0239  data: 0.1217  max mem: 11729\n",
      "Epoch: [15]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5438 (0.5577)  loss_classifier: 0.1993 (0.1997)  loss_box_reg: 0.1841 (0.1914)  loss_objectness: 0.0398 (0.0419)  loss_rpn_box_reg: 0.1215 (0.1247)  time: 2.0342  data: 0.1218  max mem: 11729\n",
      "Epoch: [15]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5567 (0.5577)  loss_classifier: 0.2007 (0.1997)  loss_box_reg: 0.1847 (0.1912)  loss_objectness: 0.0404 (0.0420)  loss_rpn_box_reg: 0.1258 (0.1248)  time: 2.0245  data: 0.1006  max mem: 11729\n",
      "Epoch: [15]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5425 (0.5571)  loss_classifier: 0.1941 (0.1996)  loss_box_reg: 0.1833 (0.1908)  loss_objectness: 0.0403 (0.0420)  loss_rpn_box_reg: 0.1218 (0.1247)  time: 2.0519  data: 0.1024  max mem: 11729\n",
      "Epoch: [15]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5384 (0.5569)  loss_classifier: 0.1935 (0.1996)  loss_box_reg: 0.1866 (0.1908)  loss_objectness: 0.0401 (0.0419)  loss_rpn_box_reg: 0.1191 (0.1246)  time: 2.0575  data: 0.1052  max mem: 11729\n",
      "Epoch: [15]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5511 (0.5567)  loss_classifier: 0.1951 (0.1994)  loss_box_reg: 0.1911 (0.1908)  loss_objectness: 0.0421 (0.0420)  loss_rpn_box_reg: 0.1214 (0.1246)  time: 2.0104  data: 0.1035  max mem: 11729\n",
      "Epoch: [15]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5558 (0.5574)  loss_classifier: 0.1984 (0.1995)  loss_box_reg: 0.1935 (0.1910)  loss_objectness: 0.0412 (0.0420)  loss_rpn_box_reg: 0.1214 (0.1248)  time: 1.9279  data: 0.0935  max mem: 11729\n",
      "Epoch: [15] Total time: 0:07:06 (2.0516 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:30  model_time: 0.6451 (0.6451)  evaluator_time: 3.3191 (3.3191)  time: 7.7344  data: 3.6508  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6304 (0.5077)  evaluator_time: 3.1948 (2.5132)  time: 4.0549  data: 0.9417  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.0725 s / it)\n",
      "Averaged stats: model_time: 0.6304 (0.5077)  evaluator_time: 3.1948 (2.5132)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [16]  [  0/208]  eta: 0:27:38  lr: 0.000000  loss: 0.5113 (0.5113)  loss_classifier: 0.1992 (0.1992)  loss_box_reg: 0.1701 (0.1701)  loss_objectness: 0.0318 (0.0318)  loss_rpn_box_reg: 0.1102 (0.1102)  time: 7.9749  data: 5.3416  max mem: 11729\n",
      "Epoch: [16]  [ 10/208]  eta: 0:09:06  lr: 0.000000  loss: 0.5357 (0.5387)  loss_classifier: 0.1924 (0.1936)  loss_box_reg: 0.1860 (0.1870)  loss_objectness: 0.0377 (0.0388)  loss_rpn_box_reg: 0.1196 (0.1193)  time: 2.7619  data: 0.6550  max mem: 11729\n",
      "Epoch: [16]  [ 20/208]  eta: 0:07:31  lr: 0.000000  loss: 0.5499 (0.5498)  loss_classifier: 0.1952 (0.1972)  loss_box_reg: 0.1885 (0.1890)  loss_objectness: 0.0396 (0.0407)  loss_rpn_box_reg: 0.1229 (0.1229)  time: 2.1256  data: 0.1428  max mem: 11729\n",
      "Epoch: [16]  [ 30/208]  eta: 0:06:47  lr: 0.000000  loss: 0.5643 (0.5582)  loss_classifier: 0.2003 (0.1998)  loss_box_reg: 0.1942 (0.1932)  loss_objectness: 0.0417 (0.0413)  loss_rpn_box_reg: 0.1254 (0.1238)  time: 2.0268  data: 0.1029  max mem: 11729\n",
      "Epoch: [16]  [ 40/208]  eta: 0:06:13  lr: 0.000000  loss: 0.5716 (0.5620)  loss_classifier: 0.2051 (0.2014)  loss_box_reg: 0.1985 (0.1938)  loss_objectness: 0.0411 (0.0423)  loss_rpn_box_reg: 0.1266 (0.1244)  time: 2.0325  data: 0.1038  max mem: 11729\n",
      "Epoch: [16]  [ 50/208]  eta: 0:05:44  lr: 0.000000  loss: 0.5625 (0.5596)  loss_classifier: 0.1977 (0.2008)  loss_box_reg: 0.1946 (0.1929)  loss_objectness: 0.0393 (0.0421)  loss_rpn_box_reg: 0.1215 (0.1238)  time: 2.0186  data: 0.1005  max mem: 11729\n",
      "Epoch: [16]  [ 60/208]  eta: 0:05:19  lr: 0.000000  loss: 0.5625 (0.5617)  loss_classifier: 0.1977 (0.2013)  loss_box_reg: 0.1841 (0.1929)  loss_objectness: 0.0389 (0.0429)  loss_rpn_box_reg: 0.1189 (0.1246)  time: 2.0259  data: 0.1031  max mem: 11729\n",
      "Epoch: [16]  [ 70/208]  eta: 0:04:55  lr: 0.000000  loss: 0.5611 (0.5621)  loss_classifier: 0.1988 (0.2014)  loss_box_reg: 0.1839 (0.1931)  loss_objectness: 0.0389 (0.0425)  loss_rpn_box_reg: 0.1268 (0.1252)  time: 2.0500  data: 0.1072  max mem: 11729\n",
      "Epoch: [16]  [ 80/208]  eta: 0:04:32  lr: 0.000000  loss: 0.5282 (0.5586)  loss_classifier: 0.1950 (0.2005)  loss_box_reg: 0.1818 (0.1918)  loss_objectness: 0.0366 (0.0418)  loss_rpn_box_reg: 0.1236 (0.1245)  time: 2.0403  data: 0.1058  max mem: 11729\n",
      "Epoch: [16]  [ 90/208]  eta: 0:04:10  lr: 0.000000  loss: 0.5550 (0.5600)  loss_classifier: 0.1971 (0.2006)  loss_box_reg: 0.1866 (0.1922)  loss_objectness: 0.0391 (0.0422)  loss_rpn_box_reg: 0.1249 (0.1250)  time: 2.0403  data: 0.1063  max mem: 11729\n",
      "Epoch: [16]  [100/208]  eta: 0:03:48  lr: 0.000000  loss: 0.5635 (0.5595)  loss_classifier: 0.1982 (0.2004)  loss_box_reg: 0.1900 (0.1918)  loss_objectness: 0.0417 (0.0421)  loss_rpn_box_reg: 0.1308 (0.1252)  time: 2.0560  data: 0.1037  max mem: 11729\n",
      "Epoch: [16]  [110/208]  eta: 0:03:26  lr: 0.000000  loss: 0.5531 (0.5592)  loss_classifier: 0.1978 (0.2000)  loss_box_reg: 0.1884 (0.1919)  loss_objectness: 0.0390 (0.0420)  loss_rpn_box_reg: 0.1241 (0.1252)  time: 2.0251  data: 0.0986  max mem: 11729\n",
      "Epoch: [16]  [120/208]  eta: 0:03:05  lr: 0.000000  loss: 0.5513 (0.5588)  loss_classifier: 0.1978 (0.1996)  loss_box_reg: 0.1913 (0.1917)  loss_objectness: 0.0390 (0.0419)  loss_rpn_box_reg: 0.1217 (0.1255)  time: 2.0428  data: 0.0999  max mem: 11729\n",
      "Epoch: [16]  [130/208]  eta: 0:02:43  lr: 0.000000  loss: 0.5513 (0.5588)  loss_classifier: 0.1990 (0.1997)  loss_box_reg: 0.1912 (0.1918)  loss_objectness: 0.0421 (0.0420)  loss_rpn_box_reg: 0.1180 (0.1253)  time: 2.0447  data: 0.1006  max mem: 11729\n",
      "Epoch: [16]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5517 (0.5582)  loss_classifier: 0.1958 (0.1995)  loss_box_reg: 0.1912 (0.1915)  loss_objectness: 0.0440 (0.0422)  loss_rpn_box_reg: 0.1207 (0.1251)  time: 1.9957  data: 0.1025  max mem: 11729\n",
      "Epoch: [16]  [150/208]  eta: 0:02:01  lr: 0.000000  loss: 0.5487 (0.5573)  loss_classifier: 0.1933 (0.1991)  loss_box_reg: 0.1877 (0.1913)  loss_objectness: 0.0436 (0.0421)  loss_rpn_box_reg: 0.1207 (0.1248)  time: 2.0314  data: 0.1048  max mem: 11729\n",
      "Epoch: [16]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5475 (0.5576)  loss_classifier: 0.1972 (0.1992)  loss_box_reg: 0.1895 (0.1914)  loss_objectness: 0.0388 (0.0420)  loss_rpn_box_reg: 0.1255 (0.1250)  time: 2.0443  data: 0.1016  max mem: 11729\n",
      "Epoch: [16]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5623 (0.5579)  loss_classifier: 0.2007 (0.1992)  loss_box_reg: 0.1912 (0.1914)  loss_objectness: 0.0414 (0.0422)  loss_rpn_box_reg: 0.1287 (0.1251)  time: 2.0127  data: 0.1019  max mem: 11729\n",
      "Epoch: [16]  [180/208]  eta: 0:00:58  lr: 0.000000  loss: 0.5620 (0.5581)  loss_classifier: 0.2001 (0.1994)  loss_box_reg: 0.1912 (0.1915)  loss_objectness: 0.0402 (0.0420)  loss_rpn_box_reg: 0.1276 (0.1252)  time: 2.0386  data: 0.1118  max mem: 11729\n",
      "Epoch: [16]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5686 (0.5588)  loss_classifier: 0.2001 (0.1996)  loss_box_reg: 0.1910 (0.1916)  loss_objectness: 0.0402 (0.0421)  loss_rpn_box_reg: 0.1287 (0.1254)  time: 2.0198  data: 0.1085  max mem: 11729\n",
      "Epoch: [16]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5686 (0.5586)  loss_classifier: 0.2052 (0.1997)  loss_box_reg: 0.1862 (0.1913)  loss_objectness: 0.0441 (0.0423)  loss_rpn_box_reg: 0.1244 (0.1252)  time: 1.9635  data: 0.0982  max mem: 11729\n",
      "Epoch: [16]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5683 (0.5579)  loss_classifier: 0.1996 (0.1995)  loss_box_reg: 0.1807 (0.1912)  loss_objectness: 0.0441 (0.0423)  loss_rpn_box_reg: 0.1180 (0.1249)  time: 1.8842  data: 0.0908  max mem: 11729\n",
      "Epoch: [16] Total time: 0:07:07 (2.0560 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6434 (0.6434)  evaluator_time: 3.2773 (3.2773)  time: 7.8028  data: 3.7638  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6317 (0.5055)  evaluator_time: 3.1816 (2.4933)  time: 4.0475  data: 0.9576  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.0656 s / it)\n",
      "Averaged stats: model_time: 0.6317 (0.5055)  evaluator_time: 3.1816 (2.4933)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [17]  [  0/208]  eta: 0:27:10  lr: 0.000000  loss: 0.6080 (0.6080)  loss_classifier: 0.2107 (0.2107)  loss_box_reg: 0.2157 (0.2157)  loss_objectness: 0.0461 (0.0461)  loss_rpn_box_reg: 0.1355 (0.1355)  time: 7.8386  data: 5.3268  max mem: 11729\n",
      "Epoch: [17]  [ 10/208]  eta: 0:09:06  lr: 0.000000  loss: 0.5512 (0.5643)  loss_classifier: 0.1957 (0.2030)  loss_box_reg: 0.1934 (0.1968)  loss_objectness: 0.0405 (0.0428)  loss_rpn_box_reg: 0.1236 (0.1217)  time: 2.7592  data: 0.6241  max mem: 11729\n",
      "Epoch: [17]  [ 20/208]  eta: 0:07:30  lr: 0.000000  loss: 0.5398 (0.5518)  loss_classifier: 0.1924 (0.1976)  loss_box_reg: 0.1849 (0.1899)  loss_objectness: 0.0405 (0.0430)  loss_rpn_box_reg: 0.1181 (0.1213)  time: 2.1221  data: 0.1273  max mem: 11729\n",
      "Epoch: [17]  [ 30/208]  eta: 0:06:42  lr: 0.000000  loss: 0.5434 (0.5512)  loss_classifier: 0.1920 (0.1979)  loss_box_reg: 0.1837 (0.1895)  loss_objectness: 0.0418 (0.0429)  loss_rpn_box_reg: 0.1188 (0.1209)  time: 1.9841  data: 0.0995  max mem: 11729\n",
      "Epoch: [17]  [ 40/208]  eta: 0:06:12  lr: 0.000000  loss: 0.5516 (0.5490)  loss_classifier: 0.1938 (0.1965)  loss_box_reg: 0.1839 (0.1876)  loss_objectness: 0.0399 (0.0429)  loss_rpn_box_reg: 0.1207 (0.1221)  time: 2.0278  data: 0.1066  max mem: 11729\n",
      "Epoch: [17]  [ 50/208]  eta: 0:05:44  lr: 0.000000  loss: 0.5641 (0.5538)  loss_classifier: 0.1950 (0.1969)  loss_box_reg: 0.1863 (0.1880)  loss_objectness: 0.0434 (0.0435)  loss_rpn_box_reg: 0.1277 (0.1255)  time: 2.0527  data: 0.1084  max mem: 11729\n",
      "Epoch: [17]  [ 60/208]  eta: 0:05:18  lr: 0.000000  loss: 0.5592 (0.5532)  loss_classifier: 0.1953 (0.1964)  loss_box_reg: 0.1863 (0.1874)  loss_objectness: 0.0437 (0.0436)  loss_rpn_box_reg: 0.1253 (0.1258)  time: 2.0313  data: 0.1027  max mem: 11729\n",
      "Epoch: [17]  [ 70/208]  eta: 0:04:55  lr: 0.000000  loss: 0.5444 (0.5521)  loss_classifier: 0.1953 (0.1963)  loss_box_reg: 0.1863 (0.1882)  loss_objectness: 0.0374 (0.0430)  loss_rpn_box_reg: 0.1210 (0.1246)  time: 2.0440  data: 0.1053  max mem: 11729\n",
      "Epoch: [17]  [ 80/208]  eta: 0:04:31  lr: 0.000000  loss: 0.5445 (0.5525)  loss_classifier: 0.1971 (0.1970)  loss_box_reg: 0.1927 (0.1883)  loss_objectness: 0.0365 (0.0428)  loss_rpn_box_reg: 0.1200 (0.1244)  time: 2.0139  data: 0.1082  max mem: 11729\n",
      "Epoch: [17]  [ 90/208]  eta: 0:04:09  lr: 0.000000  loss: 0.5554 (0.5519)  loss_classifier: 0.2000 (0.1972)  loss_box_reg: 0.1881 (0.1881)  loss_objectness: 0.0392 (0.0427)  loss_rpn_box_reg: 0.1201 (0.1238)  time: 2.0217  data: 0.1162  max mem: 11729\n",
      "Epoch: [17]  [100/208]  eta: 0:03:47  lr: 0.000000  loss: 0.5601 (0.5535)  loss_classifier: 0.2008 (0.1976)  loss_box_reg: 0.1879 (0.1885)  loss_objectness: 0.0412 (0.0428)  loss_rpn_box_reg: 0.1210 (0.1246)  time: 2.0555  data: 0.1115  max mem: 11729\n",
      "Epoch: [17]  [110/208]  eta: 0:03:25  lr: 0.000000  loss: 0.5547 (0.5514)  loss_classifier: 0.1993 (0.1969)  loss_box_reg: 0.1835 (0.1879)  loss_objectness: 0.0391 (0.0423)  loss_rpn_box_reg: 0.1231 (0.1243)  time: 2.0195  data: 0.0991  max mem: 11729\n",
      "Epoch: [17]  [120/208]  eta: 0:03:04  lr: 0.000000  loss: 0.5334 (0.5505)  loss_classifier: 0.1905 (0.1968)  loss_box_reg: 0.1799 (0.1876)  loss_objectness: 0.0371 (0.0420)  loss_rpn_box_reg: 0.1226 (0.1241)  time: 2.0118  data: 0.0994  max mem: 11729\n",
      "Epoch: [17]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5593 (0.5520)  loss_classifier: 0.2026 (0.1976)  loss_box_reg: 0.1848 (0.1883)  loss_objectness: 0.0396 (0.0419)  loss_rpn_box_reg: 0.1229 (0.1241)  time: 2.0317  data: 0.1005  max mem: 11729\n",
      "Epoch: [17]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5741 (0.5525)  loss_classifier: 0.2048 (0.1980)  loss_box_reg: 0.1938 (0.1886)  loss_objectness: 0.0409 (0.0419)  loss_rpn_box_reg: 0.1243 (0.1241)  time: 2.0094  data: 0.1005  max mem: 11729\n",
      "Epoch: [17]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5660 (0.5531)  loss_classifier: 0.2015 (0.1984)  loss_box_reg: 0.1901 (0.1889)  loss_objectness: 0.0410 (0.0420)  loss_rpn_box_reg: 0.1218 (0.1239)  time: 2.0096  data: 0.0991  max mem: 11729\n",
      "Epoch: [17]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5699 (0.5547)  loss_classifier: 0.2051 (0.1989)  loss_box_reg: 0.1944 (0.1896)  loss_objectness: 0.0416 (0.0421)  loss_rpn_box_reg: 0.1218 (0.1241)  time: 2.0432  data: 0.1043  max mem: 11729\n",
      "Epoch: [17]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5705 (0.5563)  loss_classifier: 0.2012 (0.1992)  loss_box_reg: 0.1966 (0.1901)  loss_objectness: 0.0435 (0.0425)  loss_rpn_box_reg: 0.1230 (0.1245)  time: 2.0292  data: 0.1061  max mem: 11729\n",
      "Epoch: [17]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5687 (0.5570)  loss_classifier: 0.2012 (0.1994)  loss_box_reg: 0.1925 (0.1903)  loss_objectness: 0.0416 (0.0426)  loss_rpn_box_reg: 0.1230 (0.1247)  time: 2.0290  data: 0.1042  max mem: 11729\n",
      "Epoch: [17]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5583 (0.5575)  loss_classifier: 0.2038 (0.1997)  loss_box_reg: 0.1925 (0.1904)  loss_objectness: 0.0412 (0.0425)  loss_rpn_box_reg: 0.1245 (0.1249)  time: 2.0583  data: 0.1093  max mem: 11729\n",
      "Epoch: [17]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5653 (0.5578)  loss_classifier: 0.1998 (0.1999)  loss_box_reg: 0.1982 (0.1908)  loss_objectness: 0.0384 (0.0422)  loss_rpn_box_reg: 0.1244 (0.1248)  time: 2.0312  data: 0.1107  max mem: 11729\n",
      "Epoch: [17]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5575 (0.5571)  loss_classifier: 0.1972 (0.1997)  loss_box_reg: 0.1904 (0.1905)  loss_objectness: 0.0384 (0.0422)  loss_rpn_box_reg: 0.1210 (0.1248)  time: 1.9056  data: 0.0940  max mem: 11729\n",
      "Epoch: [17] Total time: 0:07:07 (2.0560 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6601 (0.6601)  evaluator_time: 3.2695 (3.2695)  time: 7.7508  data: 3.6936  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6319 (0.5089)  evaluator_time: 3.2060 (2.5380)  time: 4.0957  data: 0.9541  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1131 s / it)\n",
      "Averaged stats: model_time: 0.6319 (0.5089)  evaluator_time: 3.2060 (2.5380)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [18]  [  0/208]  eta: 0:25:37  lr: 0.000000  loss: 0.5687 (0.5687)  loss_classifier: 0.2223 (0.2223)  loss_box_reg: 0.1958 (0.1958)  loss_objectness: 0.0411 (0.0411)  loss_rpn_box_reg: 0.1095 (0.1095)  time: 7.3907  data: 4.9645  max mem: 11729\n",
      "Epoch: [18]  [ 10/208]  eta: 0:08:52  lr: 0.000000  loss: 0.5687 (0.5637)  loss_classifier: 0.2035 (0.2036)  loss_box_reg: 0.1958 (0.1931)  loss_objectness: 0.0411 (0.0425)  loss_rpn_box_reg: 0.1257 (0.1245)  time: 2.6918  data: 0.5619  max mem: 11729\n",
      "Epoch: [18]  [ 20/208]  eta: 0:07:25  lr: 0.000000  loss: 0.5604 (0.5641)  loss_classifier: 0.1984 (0.2032)  loss_box_reg: 0.1913 (0.1926)  loss_objectness: 0.0412 (0.0421)  loss_rpn_box_reg: 0.1229 (0.1262)  time: 2.1174  data: 0.1121  max mem: 11729\n",
      "Epoch: [18]  [ 30/208]  eta: 0:06:42  lr: 0.000000  loss: 0.5458 (0.5622)  loss_classifier: 0.1971 (0.2014)  loss_box_reg: 0.1877 (0.1916)  loss_objectness: 0.0418 (0.0424)  loss_rpn_box_reg: 0.1229 (0.1269)  time: 2.0230  data: 0.1008  max mem: 11729\n",
      "Epoch: [18]  [ 40/208]  eta: 0:06:12  lr: 0.000000  loss: 0.5410 (0.5558)  loss_classifier: 0.1919 (0.1995)  loss_box_reg: 0.1851 (0.1895)  loss_objectness: 0.0417 (0.0421)  loss_rpn_box_reg: 0.1220 (0.1247)  time: 2.0627  data: 0.1171  max mem: 11729\n",
      "Epoch: [18]  [ 50/208]  eta: 0:05:44  lr: 0.000000  loss: 0.5412 (0.5574)  loss_classifier: 0.1937 (0.1999)  loss_box_reg: 0.1851 (0.1902)  loss_objectness: 0.0416 (0.0421)  loss_rpn_box_reg: 0.1191 (0.1252)  time: 2.0520  data: 0.1168  max mem: 11729\n",
      "Epoch: [18]  [ 60/208]  eta: 0:05:19  lr: 0.000000  loss: 0.5460 (0.5551)  loss_classifier: 0.1992 (0.1990)  loss_box_reg: 0.1916 (0.1899)  loss_objectness: 0.0384 (0.0418)  loss_rpn_box_reg: 0.1221 (0.1244)  time: 2.0258  data: 0.1021  max mem: 11729\n",
      "Epoch: [18]  [ 70/208]  eta: 0:04:55  lr: 0.000000  loss: 0.5506 (0.5561)  loss_classifier: 0.1992 (0.1994)  loss_box_reg: 0.1916 (0.1901)  loss_objectness: 0.0395 (0.0418)  loss_rpn_box_reg: 0.1228 (0.1248)  time: 2.0510  data: 0.1080  max mem: 11729\n",
      "Epoch: [18]  [ 80/208]  eta: 0:04:31  lr: 0.000000  loss: 0.5636 (0.5571)  loss_classifier: 0.2020 (0.2001)  loss_box_reg: 0.1919 (0.1903)  loss_objectness: 0.0405 (0.0420)  loss_rpn_box_reg: 0.1228 (0.1247)  time: 2.0305  data: 0.1038  max mem: 11729\n",
      "Epoch: [18]  [ 90/208]  eta: 0:04:08  lr: 0.000000  loss: 0.5298 (0.5535)  loss_classifier: 0.1960 (0.1989)  loss_box_reg: 0.1840 (0.1895)  loss_objectness: 0.0384 (0.0415)  loss_rpn_box_reg: 0.1172 (0.1236)  time: 1.9934  data: 0.0990  max mem: 11729\n",
      "Epoch: [18]  [100/208]  eta: 0:03:47  lr: 0.000000  loss: 0.5283 (0.5535)  loss_classifier: 0.1932 (0.1991)  loss_box_reg: 0.1854 (0.1893)  loss_objectness: 0.0368 (0.0417)  loss_rpn_box_reg: 0.1197 (0.1234)  time: 2.0377  data: 0.1110  max mem: 11729\n",
      "Epoch: [18]  [110/208]  eta: 0:03:25  lr: 0.000000  loss: 0.5420 (0.5526)  loss_classifier: 0.1932 (0.1988)  loss_box_reg: 0.1857 (0.1889)  loss_objectness: 0.0400 (0.0416)  loss_rpn_box_reg: 0.1243 (0.1232)  time: 2.0468  data: 0.1091  max mem: 11729\n",
      "Epoch: [18]  [120/208]  eta: 0:03:04  lr: 0.000000  loss: 0.5418 (0.5528)  loss_classifier: 0.1916 (0.1984)  loss_box_reg: 0.1824 (0.1890)  loss_objectness: 0.0400 (0.0418)  loss_rpn_box_reg: 0.1274 (0.1237)  time: 2.0094  data: 0.1013  max mem: 11729\n",
      "Epoch: [18]  [130/208]  eta: 0:02:43  lr: 0.000000  loss: 0.5464 (0.5539)  loss_classifier: 0.1966 (0.1985)  loss_box_reg: 0.1852 (0.1890)  loss_objectness: 0.0421 (0.0422)  loss_rpn_box_reg: 0.1279 (0.1242)  time: 2.0581  data: 0.1070  max mem: 11729\n",
      "Epoch: [18]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5585 (0.5549)  loss_classifier: 0.2018 (0.1988)  loss_box_reg: 0.1919 (0.1896)  loss_objectness: 0.0433 (0.0423)  loss_rpn_box_reg: 0.1267 (0.1243)  time: 2.0596  data: 0.1046  max mem: 11729\n",
      "Epoch: [18]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5696 (0.5564)  loss_classifier: 0.2021 (0.1992)  loss_box_reg: 0.1936 (0.1899)  loss_objectness: 0.0433 (0.0425)  loss_rpn_box_reg: 0.1281 (0.1248)  time: 1.9941  data: 0.0989  max mem: 11729\n",
      "Epoch: [18]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5584 (0.5564)  loss_classifier: 0.2014 (0.1992)  loss_box_reg: 0.1910 (0.1900)  loss_objectness: 0.0412 (0.0425)  loss_rpn_box_reg: 0.1267 (0.1248)  time: 2.0259  data: 0.0988  max mem: 11729\n",
      "Epoch: [18]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5648 (0.5573)  loss_classifier: 0.2029 (0.1995)  loss_box_reg: 0.1940 (0.1905)  loss_objectness: 0.0400 (0.0423)  loss_rpn_box_reg: 0.1258 (0.1250)  time: 2.0550  data: 0.1043  max mem: 11729\n",
      "Epoch: [18]  [180/208]  eta: 0:00:58  lr: 0.000000  loss: 0.5648 (0.5574)  loss_classifier: 0.2036 (0.1994)  loss_box_reg: 0.1950 (0.1906)  loss_objectness: 0.0407 (0.0425)  loss_rpn_box_reg: 0.1258 (0.1249)  time: 2.0090  data: 0.1056  max mem: 11729\n",
      "Epoch: [18]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5513 (0.5570)  loss_classifier: 0.1984 (0.1993)  loss_box_reg: 0.1909 (0.1906)  loss_objectness: 0.0397 (0.0424)  loss_rpn_box_reg: 0.1213 (0.1247)  time: 2.0148  data: 0.1086  max mem: 11729\n",
      "Epoch: [18]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5608 (0.5579)  loss_classifier: 0.2012 (0.1998)  loss_box_reg: 0.1909 (0.1908)  loss_objectness: 0.0397 (0.0425)  loss_rpn_box_reg: 0.1242 (0.1249)  time: 2.0115  data: 0.1080  max mem: 11729\n",
      "Epoch: [18]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5608 (0.5577)  loss_classifier: 0.2008 (0.1997)  loss_box_reg: 0.1914 (0.1910)  loss_objectness: 0.0397 (0.0423)  loss_rpn_box_reg: 0.1242 (0.1247)  time: 1.8943  data: 0.0910  max mem: 11729\n",
      "Epoch: [18] Total time: 0:07:07 (2.0553 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:30  model_time: 0.6500 (0.6500)  evaluator_time: 3.2299 (3.2299)  time: 7.7140  data: 3.6933  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6305 (0.5099)  evaluator_time: 3.1945 (2.5160)  time: 4.0896  data: 0.9663  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1073 s / it)\n",
      "Averaged stats: model_time: 0.6305 (0.5099)  evaluator_time: 3.1945 (2.5160)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [19]  [  0/208]  eta: 0:25:53  lr: 0.000000  loss: 0.5394 (0.5394)  loss_classifier: 0.1997 (0.1997)  loss_box_reg: 0.1946 (0.1946)  loss_objectness: 0.0361 (0.0361)  loss_rpn_box_reg: 0.1090 (0.1090)  time: 7.4706  data: 4.9110  max mem: 11729\n",
      "Epoch: [19]  [ 10/208]  eta: 0:08:56  lr: 0.000000  loss: 0.5358 (0.5412)  loss_classifier: 0.1913 (0.1920)  loss_box_reg: 0.1880 (0.1865)  loss_objectness: 0.0377 (0.0392)  loss_rpn_box_reg: 0.1223 (0.1235)  time: 2.7091  data: 0.5976  max mem: 11729\n",
      "Epoch: [19]  [ 20/208]  eta: 0:07:24  lr: 0.000000  loss: 0.5358 (0.5491)  loss_classifier: 0.1916 (0.1968)  loss_box_reg: 0.1880 (0.1885)  loss_objectness: 0.0402 (0.0397)  loss_rpn_box_reg: 0.1223 (0.1241)  time: 2.1118  data: 0.1321  max mem: 11729\n",
      "Epoch: [19]  [ 30/208]  eta: 0:06:40  lr: 0.000000  loss: 0.5282 (0.5418)  loss_classifier: 0.1946 (0.1945)  loss_box_reg: 0.1859 (0.1859)  loss_objectness: 0.0372 (0.0387)  loss_rpn_box_reg: 0.1172 (0.1227)  time: 2.0008  data: 0.0995  max mem: 11729\n",
      "Epoch: [19]  [ 40/208]  eta: 0:06:10  lr: 0.000000  loss: 0.5282 (0.5464)  loss_classifier: 0.1936 (0.1954)  loss_box_reg: 0.1843 (0.1878)  loss_objectness: 0.0407 (0.0400)  loss_rpn_box_reg: 0.1193 (0.1233)  time: 2.0358  data: 0.1090  max mem: 11729\n",
      "Epoch: [19]  [ 50/208]  eta: 0:05:42  lr: 0.000000  loss: 0.5497 (0.5480)  loss_classifier: 0.1990 (0.1968)  loss_box_reg: 0.1893 (0.1878)  loss_objectness: 0.0434 (0.0406)  loss_rpn_box_reg: 0.1253 (0.1228)  time: 2.0310  data: 0.1143  max mem: 11729\n",
      "Epoch: [19]  [ 60/208]  eta: 0:05:16  lr: 0.000000  loss: 0.5685 (0.5531)  loss_classifier: 0.2039 (0.1984)  loss_box_reg: 0.1957 (0.1898)  loss_objectness: 0.0447 (0.0416)  loss_rpn_box_reg: 0.1253 (0.1234)  time: 1.9998  data: 0.1149  max mem: 11729\n",
      "Epoch: [19]  [ 70/208]  eta: 0:04:53  lr: 0.000000  loss: 0.5673 (0.5532)  loss_classifier: 0.2039 (0.1987)  loss_box_reg: 0.1966 (0.1899)  loss_objectness: 0.0396 (0.0413)  loss_rpn_box_reg: 0.1225 (0.1233)  time: 2.0193  data: 0.1115  max mem: 11729\n",
      "Epoch: [19]  [ 80/208]  eta: 0:04:30  lr: 0.000000  loss: 0.5372 (0.5530)  loss_classifier: 0.1947 (0.1984)  loss_box_reg: 0.1914 (0.1898)  loss_objectness: 0.0375 (0.0414)  loss_rpn_box_reg: 0.1199 (0.1233)  time: 2.0330  data: 0.1013  max mem: 11729\n",
      "Epoch: [19]  [ 90/208]  eta: 0:04:07  lr: 0.000000  loss: 0.5557 (0.5555)  loss_classifier: 0.1953 (0.1991)  loss_box_reg: 0.1910 (0.1901)  loss_objectness: 0.0424 (0.0423)  loss_rpn_box_reg: 0.1201 (0.1240)  time: 2.0105  data: 0.0990  max mem: 11729\n",
      "Epoch: [19]  [100/208]  eta: 0:03:46  lr: 0.000000  loss: 0.5613 (0.5560)  loss_classifier: 0.2044 (0.1996)  loss_box_reg: 0.1860 (0.1900)  loss_objectness: 0.0423 (0.0422)  loss_rpn_box_reg: 0.1227 (0.1242)  time: 2.0374  data: 0.1098  max mem: 11729\n",
      "Epoch: [19]  [110/208]  eta: 0:03:24  lr: 0.000000  loss: 0.5613 (0.5569)  loss_classifier: 0.2038 (0.1998)  loss_box_reg: 0.1919 (0.1904)  loss_objectness: 0.0391 (0.0420)  loss_rpn_box_reg: 0.1242 (0.1247)  time: 2.0401  data: 0.1099  max mem: 11729\n",
      "Epoch: [19]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5643 (0.5567)  loss_classifier: 0.2007 (0.1999)  loss_box_reg: 0.1952 (0.1907)  loss_objectness: 0.0390 (0.0417)  loss_rpn_box_reg: 0.1236 (0.1244)  time: 2.0050  data: 0.1000  max mem: 11729\n",
      "Epoch: [19]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5548 (0.5575)  loss_classifier: 0.1997 (0.2002)  loss_box_reg: 0.1952 (0.1913)  loss_objectness: 0.0381 (0.0419)  loss_rpn_box_reg: 0.1192 (0.1241)  time: 2.0381  data: 0.1054  max mem: 11729\n",
      "Epoch: [19]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5525 (0.5571)  loss_classifier: 0.1964 (0.1999)  loss_box_reg: 0.1898 (0.1914)  loss_objectness: 0.0400 (0.0418)  loss_rpn_box_reg: 0.1246 (0.1240)  time: 2.0369  data: 0.1056  max mem: 11729\n",
      "Epoch: [19]  [150/208]  eta: 0:01:59  lr: 0.000000  loss: 0.5580 (0.5581)  loss_classifier: 0.1964 (0.2003)  loss_box_reg: 0.1941 (0.1916)  loss_objectness: 0.0428 (0.0419)  loss_rpn_box_reg: 0.1229 (0.1242)  time: 1.9904  data: 0.0994  max mem: 11729\n",
      "Epoch: [19]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5740 (0.5595)  loss_classifier: 0.2066 (0.2008)  loss_box_reg: 0.1965 (0.1920)  loss_objectness: 0.0468 (0.0423)  loss_rpn_box_reg: 0.1303 (0.1245)  time: 2.0244  data: 0.1069  max mem: 11729\n",
      "Epoch: [19]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5617 (0.5588)  loss_classifier: 0.2025 (0.2005)  loss_box_reg: 0.1920 (0.1918)  loss_objectness: 0.0429 (0.0421)  loss_rpn_box_reg: 0.1268 (0.1244)  time: 2.0404  data: 0.1073  max mem: 11729\n",
      "Epoch: [19]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5319 (0.5576)  loss_classifier: 0.1879 (0.1998)  loss_box_reg: 0.1832 (0.1912)  loss_objectness: 0.0369 (0.0421)  loss_rpn_box_reg: 0.1195 (0.1246)  time: 2.0061  data: 0.1031  max mem: 11729\n",
      "Epoch: [19]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5634 (0.5588)  loss_classifier: 0.1983 (0.1999)  loss_box_reg: 0.1892 (0.1914)  loss_objectness: 0.0443 (0.0422)  loss_rpn_box_reg: 0.1266 (0.1252)  time: 2.0324  data: 0.1028  max mem: 11729\n",
      "Epoch: [19]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5598 (0.5572)  loss_classifier: 0.1965 (0.1994)  loss_box_reg: 0.1910 (0.1909)  loss_objectness: 0.0415 (0.0419)  loss_rpn_box_reg: 0.1257 (0.1250)  time: 2.0282  data: 0.1001  max mem: 11729\n",
      "Epoch: [19]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5441 (0.5569)  loss_classifier: 0.1952 (0.1993)  loss_box_reg: 0.1831 (0.1907)  loss_objectness: 0.0379 (0.0420)  loss_rpn_box_reg: 0.1243 (0.1250)  time: 1.9313  data: 0.0918  max mem: 11729\n",
      "Epoch: [19] Total time: 0:07:06 (2.0490 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6417 (0.6417)  evaluator_time: 3.2164 (3.2164)  time: 7.8050  data: 3.8267  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6318 (0.5059)  evaluator_time: 3.2164 (2.4839)  time: 4.0671  data: 0.9851  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.0849 s / it)\n",
      "Averaged stats: model_time: 0.6318 (0.5059)  evaluator_time: 3.2164 (2.4839)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [20]  [  0/208]  eta: 0:28:11  lr: 0.000000  loss: 0.5387 (0.5387)  loss_classifier: 0.1916 (0.1916)  loss_box_reg: 0.1840 (0.1840)  loss_objectness: 0.0366 (0.0366)  loss_rpn_box_reg: 0.1266 (0.1266)  time: 8.1331  data: 5.7313  max mem: 11729\n",
      "Epoch: [20]  [ 10/208]  eta: 0:08:48  lr: 0.000000  loss: 0.5350 (0.5381)  loss_classifier: 0.1900 (0.1915)  loss_box_reg: 0.1871 (0.1871)  loss_objectness: 0.0403 (0.0403)  loss_rpn_box_reg: 0.1188 (0.1193)  time: 2.6699  data: 0.6107  max mem: 11729\n",
      "Epoch: [20]  [ 20/208]  eta: 0:07:28  lr: 0.000000  loss: 0.5355 (0.5426)  loss_classifier: 0.1937 (0.1946)  loss_box_reg: 0.1874 (0.1869)  loss_objectness: 0.0403 (0.0416)  loss_rpn_box_reg: 0.1159 (0.1194)  time: 2.1003  data: 0.1082  max mem: 11729\n",
      "Epoch: [20]  [ 30/208]  eta: 0:06:42  lr: 0.000000  loss: 0.5507 (0.5502)  loss_classifier: 0.1988 (0.1967)  loss_box_reg: 0.1878 (0.1891)  loss_objectness: 0.0403 (0.0431)  loss_rpn_box_reg: 0.1178 (0.1213)  time: 2.0341  data: 0.1091  max mem: 11729\n",
      "Epoch: [20]  [ 40/208]  eta: 0:06:08  lr: 0.000000  loss: 0.5606 (0.5513)  loss_classifier: 0.1995 (0.1971)  loss_box_reg: 0.1882 (0.1895)  loss_objectness: 0.0390 (0.0422)  loss_rpn_box_reg: 0.1252 (0.1225)  time: 1.9899  data: 0.1016  max mem: 11729\n",
      "Epoch: [20]  [ 50/208]  eta: 0:05:43  lr: 0.000000  loss: 0.5515 (0.5504)  loss_classifier: 0.1950 (0.1968)  loss_box_reg: 0.1860 (0.1884)  loss_objectness: 0.0392 (0.0427)  loss_rpn_box_reg: 0.1189 (0.1226)  time: 2.0347  data: 0.1100  max mem: 11729\n",
      "Epoch: [20]  [ 60/208]  eta: 0:05:16  lr: 0.000000  loss: 0.5579 (0.5540)  loss_classifier: 0.1969 (0.1980)  loss_box_reg: 0.1920 (0.1901)  loss_objectness: 0.0458 (0.0430)  loss_rpn_box_reg: 0.1213 (0.1229)  time: 2.0345  data: 0.1082  max mem: 11729\n",
      "Epoch: [20]  [ 70/208]  eta: 0:04:52  lr: 0.000000  loss: 0.5584 (0.5564)  loss_classifier: 0.2077 (0.1985)  loss_box_reg: 0.1937 (0.1904)  loss_objectness: 0.0401 (0.0433)  loss_rpn_box_reg: 0.1246 (0.1241)  time: 1.9889  data: 0.1001  max mem: 11729\n",
      "Epoch: [20]  [ 80/208]  eta: 0:04:30  lr: 0.000000  loss: 0.5573 (0.5547)  loss_classifier: 0.2040 (0.1988)  loss_box_reg: 0.1879 (0.1900)  loss_objectness: 0.0389 (0.0426)  loss_rpn_box_reg: 0.1172 (0.1232)  time: 2.0396  data: 0.1053  max mem: 11729\n",
      "Epoch: [20]  [ 90/208]  eta: 0:04:08  lr: 0.000000  loss: 0.5563 (0.5540)  loss_classifier: 0.2010 (0.1988)  loss_box_reg: 0.1851 (0.1895)  loss_objectness: 0.0376 (0.0423)  loss_rpn_box_reg: 0.1175 (0.1233)  time: 2.0490  data: 0.1043  max mem: 11729\n",
      "Epoch: [20]  [100/208]  eta: 0:03:46  lr: 0.000000  loss: 0.5581 (0.5542)  loss_classifier: 0.1973 (0.1986)  loss_box_reg: 0.1858 (0.1893)  loss_objectness: 0.0376 (0.0424)  loss_rpn_box_reg: 0.1211 (0.1239)  time: 2.0146  data: 0.0995  max mem: 11729\n",
      "Epoch: [20]  [110/208]  eta: 0:03:25  lr: 0.000000  loss: 0.5599 (0.5539)  loss_classifier: 0.1973 (0.1987)  loss_box_reg: 0.1888 (0.1893)  loss_objectness: 0.0416 (0.0421)  loss_rpn_box_reg: 0.1254 (0.1238)  time: 2.0488  data: 0.1109  max mem: 11729\n",
      "Epoch: [20]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5599 (0.5544)  loss_classifier: 0.1927 (0.1983)  loss_box_reg: 0.1814 (0.1892)  loss_objectness: 0.0425 (0.0425)  loss_rpn_box_reg: 0.1281 (0.1243)  time: 2.0538  data: 0.1102  max mem: 11729\n",
      "Epoch: [20]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5596 (0.5549)  loss_classifier: 0.1966 (0.1985)  loss_box_reg: 0.1900 (0.1893)  loss_objectness: 0.0464 (0.0427)  loss_rpn_box_reg: 0.1281 (0.1245)  time: 2.0164  data: 0.0982  max mem: 11729\n",
      "Epoch: [20]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5667 (0.5560)  loss_classifier: 0.2050 (0.1990)  loss_box_reg: 0.1925 (0.1896)  loss_objectness: 0.0455 (0.0431)  loss_rpn_box_reg: 0.1248 (0.1242)  time: 2.0412  data: 0.1068  max mem: 11729\n",
      "Epoch: [20]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5724 (0.5579)  loss_classifier: 0.2091 (0.1999)  loss_box_reg: 0.1963 (0.1904)  loss_objectness: 0.0460 (0.0433)  loss_rpn_box_reg: 0.1221 (0.1243)  time: 2.0373  data: 0.1110  max mem: 11729\n",
      "Epoch: [20]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5721 (0.5585)  loss_classifier: 0.2088 (0.2001)  loss_box_reg: 0.1942 (0.1908)  loss_objectness: 0.0443 (0.0433)  loss_rpn_box_reg: 0.1266 (0.1244)  time: 1.9888  data: 0.1053  max mem: 11729\n",
      "Epoch: [20]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5615 (0.5591)  loss_classifier: 0.2032 (0.2003)  loss_box_reg: 0.1930 (0.1911)  loss_objectness: 0.0408 (0.0432)  loss_rpn_box_reg: 0.1211 (0.1246)  time: 2.0266  data: 0.1081  max mem: 11729\n",
      "Epoch: [20]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5553 (0.5590)  loss_classifier: 0.2019 (0.2002)  loss_box_reg: 0.1913 (0.1910)  loss_objectness: 0.0407 (0.0431)  loss_rpn_box_reg: 0.1218 (0.1248)  time: 2.0427  data: 0.1071  max mem: 11729\n",
      "Epoch: [20]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5425 (0.5578)  loss_classifier: 0.1991 (0.1997)  loss_box_reg: 0.1885 (0.1907)  loss_objectness: 0.0373 (0.0429)  loss_rpn_box_reg: 0.1213 (0.1245)  time: 2.0366  data: 0.1020  max mem: 11729\n",
      "Epoch: [20]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5456 (0.5579)  loss_classifier: 0.1947 (0.1996)  loss_box_reg: 0.1902 (0.1909)  loss_objectness: 0.0373 (0.0428)  loss_rpn_box_reg: 0.1233 (0.1246)  time: 2.0483  data: 0.1026  max mem: 11729\n",
      "Epoch: [20]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5594 (0.5579)  loss_classifier: 0.1960 (0.1998)  loss_box_reg: 0.1951 (0.1908)  loss_objectness: 0.0364 (0.0426)  loss_rpn_box_reg: 0.1255 (0.1247)  time: 1.9535  data: 0.0898  max mem: 11729\n",
      "Epoch: [20] Total time: 0:07:07 (2.0555 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:33  model_time: 0.6430 (0.6430)  evaluator_time: 3.3178 (3.3178)  time: 8.3267  data: 4.2281  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6287 (0.5049)  evaluator_time: 3.2721 (2.6197)  time: 4.2966  data: 1.0744  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.3151 s / it)\n",
      "Averaged stats: model_time: 0.6287 (0.5049)  evaluator_time: 3.2721 (2.6197)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [21]  [  0/208]  eta: 0:26:05  lr: 0.000000  loss: 0.5974 (0.5974)  loss_classifier: 0.2206 (0.2206)  loss_box_reg: 0.2046 (0.2046)  loss_objectness: 0.0442 (0.0442)  loss_rpn_box_reg: 0.1281 (0.1281)  time: 7.5271  data: 5.1042  max mem: 11729\n",
      "Epoch: [21]  [ 10/208]  eta: 0:08:43  lr: 0.000000  loss: 0.5633 (0.5689)  loss_classifier: 0.2006 (0.2028)  loss_box_reg: 0.1899 (0.1921)  loss_objectness: 0.0425 (0.0466)  loss_rpn_box_reg: 0.1201 (0.1272)  time: 2.6436  data: 0.6060  max mem: 11729\n",
      "Epoch: [21]  [ 20/208]  eta: 0:07:21  lr: 0.000000  loss: 0.5633 (0.5622)  loss_classifier: 0.1982 (0.2004)  loss_box_reg: 0.1889 (0.1895)  loss_objectness: 0.0420 (0.0441)  loss_rpn_box_reg: 0.1201 (0.1283)  time: 2.0907  data: 0.1330  max mem: 11729\n",
      "Epoch: [21]  [ 30/208]  eta: 0:06:38  lr: 0.000000  loss: 0.5607 (0.5618)  loss_classifier: 0.1922 (0.2001)  loss_box_reg: 0.1908 (0.1906)  loss_objectness: 0.0393 (0.0433)  loss_rpn_box_reg: 0.1278 (0.1279)  time: 2.0167  data: 0.1065  max mem: 11729\n",
      "Epoch: [21]  [ 40/208]  eta: 0:06:07  lr: 0.000000  loss: 0.5535 (0.5613)  loss_classifier: 0.2020 (0.2005)  loss_box_reg: 0.1889 (0.1903)  loss_objectness: 0.0389 (0.0421)  loss_rpn_box_reg: 0.1256 (0.1283)  time: 2.0160  data: 0.1020  max mem: 11729\n",
      "Epoch: [21]  [ 50/208]  eta: 0:05:41  lr: 0.000000  loss: 0.5561 (0.5619)  loss_classifier: 0.2062 (0.2011)  loss_box_reg: 0.1930 (0.1913)  loss_objectness: 0.0389 (0.0417)  loss_rpn_box_reg: 0.1267 (0.1278)  time: 2.0461  data: 0.1071  max mem: 11729\n",
      "Epoch: [21]  [ 60/208]  eta: 0:05:16  lr: 0.000000  loss: 0.5542 (0.5593)  loss_classifier: 0.2022 (0.2005)  loss_box_reg: 0.1930 (0.1907)  loss_objectness: 0.0384 (0.0413)  loss_rpn_box_reg: 0.1256 (0.1268)  time: 2.0487  data: 0.1082  max mem: 11729\n",
      "Epoch: [21]  [ 70/208]  eta: 0:04:52  lr: 0.000000  loss: 0.5514 (0.5581)  loss_classifier: 0.1976 (0.1998)  loss_box_reg: 0.1891 (0.1905)  loss_objectness: 0.0388 (0.0412)  loss_rpn_box_reg: 0.1237 (0.1266)  time: 2.0182  data: 0.1045  max mem: 11729\n",
      "Epoch: [21]  [ 80/208]  eta: 0:04:30  lr: 0.000000  loss: 0.5662 (0.5610)  loss_classifier: 0.2024 (0.2005)  loss_box_reg: 0.1919 (0.1915)  loss_objectness: 0.0409 (0.0418)  loss_rpn_box_reg: 0.1219 (0.1271)  time: 2.0310  data: 0.1095  max mem: 11729\n",
      "Epoch: [21]  [ 90/208]  eta: 0:04:08  lr: 0.000000  loss: 0.5675 (0.5602)  loss_classifier: 0.2027 (0.2002)  loss_box_reg: 0.1955 (0.1915)  loss_objectness: 0.0424 (0.0417)  loss_rpn_box_reg: 0.1253 (0.1267)  time: 2.0461  data: 0.1068  max mem: 11729\n",
      "Epoch: [21]  [100/208]  eta: 0:03:46  lr: 0.000000  loss: 0.5645 (0.5609)  loss_classifier: 0.1989 (0.2003)  loss_box_reg: 0.1940 (0.1916)  loss_objectness: 0.0429 (0.0420)  loss_rpn_box_reg: 0.1280 (0.1270)  time: 2.0190  data: 0.1028  max mem: 11729\n",
      "Epoch: [21]  [110/208]  eta: 0:03:25  lr: 0.000000  loss: 0.5627 (0.5590)  loss_classifier: 0.1914 (0.1995)  loss_box_reg: 0.1883 (0.1909)  loss_objectness: 0.0427 (0.0419)  loss_rpn_box_reg: 0.1294 (0.1267)  time: 2.0403  data: 0.1033  max mem: 11729\n",
      "Epoch: [21]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5308 (0.5568)  loss_classifier: 0.1864 (0.1990)  loss_box_reg: 0.1877 (0.1899)  loss_objectness: 0.0387 (0.0416)  loss_rpn_box_reg: 0.1214 (0.1262)  time: 2.0419  data: 0.0999  max mem: 11729\n",
      "Epoch: [21]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5544 (0.5583)  loss_classifier: 0.1985 (0.1997)  loss_box_reg: 0.1836 (0.1902)  loss_objectness: 0.0435 (0.0422)  loss_rpn_box_reg: 0.1264 (0.1261)  time: 2.0019  data: 0.0993  max mem: 11729\n",
      "Epoch: [21]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5664 (0.5584)  loss_classifier: 0.2039 (0.1998)  loss_box_reg: 0.1897 (0.1904)  loss_objectness: 0.0463 (0.0423)  loss_rpn_box_reg: 0.1236 (0.1259)  time: 2.0360  data: 0.1117  max mem: 11729\n",
      "Epoch: [21]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5651 (0.5580)  loss_classifier: 0.2021 (0.1995)  loss_box_reg: 0.1925 (0.1904)  loss_objectness: 0.0443 (0.0425)  loss_rpn_box_reg: 0.1177 (0.1255)  time: 2.0533  data: 0.1113  max mem: 11729\n",
      "Epoch: [21]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5513 (0.5576)  loss_classifier: 0.1974 (0.1994)  loss_box_reg: 0.1895 (0.1902)  loss_objectness: 0.0453 (0.0425)  loss_rpn_box_reg: 0.1215 (0.1254)  time: 2.0231  data: 0.0995  max mem: 11729\n",
      "Epoch: [21]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5513 (0.5574)  loss_classifier: 0.2011 (0.1994)  loss_box_reg: 0.1886 (0.1903)  loss_objectness: 0.0444 (0.0425)  loss_rpn_box_reg: 0.1215 (0.1253)  time: 2.0613  data: 0.1043  max mem: 11729\n",
      "Epoch: [21]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5533 (0.5573)  loss_classifier: 0.1959 (0.1993)  loss_box_reg: 0.1889 (0.1901)  loss_objectness: 0.0430 (0.0426)  loss_rpn_box_reg: 0.1214 (0.1252)  time: 2.0551  data: 0.1056  max mem: 11729\n",
      "Epoch: [21]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5668 (0.5577)  loss_classifier: 0.2001 (0.1995)  loss_box_reg: 0.1933 (0.1903)  loss_objectness: 0.0432 (0.0428)  loss_rpn_box_reg: 0.1217 (0.1251)  time: 2.0049  data: 0.1016  max mem: 11729\n",
      "Epoch: [21]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5493 (0.5570)  loss_classifier: 0.1984 (0.1992)  loss_box_reg: 0.1908 (0.1902)  loss_objectness: 0.0371 (0.0425)  loss_rpn_box_reg: 0.1201 (0.1250)  time: 2.0432  data: 0.1087  max mem: 11729\n",
      "Epoch: [21]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5493 (0.5572)  loss_classifier: 0.1979 (0.1995)  loss_box_reg: 0.1903 (0.1905)  loss_objectness: 0.0371 (0.0423)  loss_rpn_box_reg: 0.1201 (0.1248)  time: 1.9426  data: 0.0977  max mem: 11729\n",
      "Epoch: [21] Total time: 0:07:07 (2.0575 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:36  model_time: 0.6499 (0.6499)  evaluator_time: 3.8477 (3.8477)  time: 9.0178  data: 4.3948  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6299 (0.5066)  evaluator_time: 3.2771 (2.6765)  time: 4.3924  data: 1.1155  max mem: 11729\n",
      "Test: Total time: 0:00:17 (4.4104 s / it)\n",
      "Averaged stats: model_time: 0.6299 (0.5066)  evaluator_time: 3.2771 (2.6765)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [22]  [  0/208]  eta: 0:25:28  lr: 0.000000  loss: 0.5625 (0.5625)  loss_classifier: 0.1965 (0.1965)  loss_box_reg: 0.1975 (0.1975)  loss_objectness: 0.0456 (0.0456)  loss_rpn_box_reg: 0.1230 (0.1230)  time: 7.3507  data: 4.9435  max mem: 11729\n",
      "Epoch: [22]  [ 10/208]  eta: 0:08:35  lr: 0.000000  loss: 0.5192 (0.5450)  loss_classifier: 0.1965 (0.1999)  loss_box_reg: 0.1800 (0.1880)  loss_objectness: 0.0372 (0.0380)  loss_rpn_box_reg: 0.1203 (0.1190)  time: 2.6050  data: 0.5660  max mem: 11729\n",
      "Epoch: [22]  [ 20/208]  eta: 0:07:22  lr: 0.000000  loss: 0.5341 (0.5477)  loss_classifier: 0.1928 (0.1968)  loss_box_reg: 0.1856 (0.1890)  loss_objectness: 0.0366 (0.0405)  loss_rpn_box_reg: 0.1174 (0.1213)  time: 2.1046  data: 0.1181  max mem: 11729\n",
      "Epoch: [22]  [ 30/208]  eta: 0:06:40  lr: 0.000000  loss: 0.5572 (0.5565)  loss_classifier: 0.1946 (0.1987)  loss_box_reg: 0.1929 (0.1899)  loss_objectness: 0.0431 (0.0439)  loss_rpn_box_reg: 0.1213 (0.1240)  time: 2.0557  data: 0.1041  max mem: 11729\n",
      "Epoch: [22]  [ 40/208]  eta: 0:06:07  lr: 0.000000  loss: 0.5598 (0.5553)  loss_classifier: 0.2003 (0.1990)  loss_box_reg: 0.1867 (0.1895)  loss_objectness: 0.0413 (0.0432)  loss_rpn_box_reg: 0.1205 (0.1236)  time: 2.0090  data: 0.0998  max mem: 11729\n",
      "Epoch: [22]  [ 50/208]  eta: 0:05:41  lr: 0.000000  loss: 0.5540 (0.5562)  loss_classifier: 0.1955 (0.1990)  loss_box_reg: 0.1856 (0.1904)  loss_objectness: 0.0413 (0.0430)  loss_rpn_box_reg: 0.1205 (0.1238)  time: 2.0270  data: 0.1039  max mem: 11729\n",
      "Epoch: [22]  [ 60/208]  eta: 0:05:16  lr: 0.000000  loss: 0.5677 (0.5599)  loss_classifier: 0.2031 (0.2004)  loss_box_reg: 0.1958 (0.1913)  loss_objectness: 0.0427 (0.0430)  loss_rpn_box_reg: 0.1293 (0.1252)  time: 2.0398  data: 0.1041  max mem: 11729\n",
      "Epoch: [22]  [ 70/208]  eta: 0:04:52  lr: 0.000000  loss: 0.5525 (0.5570)  loss_classifier: 0.2030 (0.1994)  loss_box_reg: 0.1906 (0.1903)  loss_objectness: 0.0403 (0.0423)  loss_rpn_box_reg: 0.1249 (0.1250)  time: 1.9985  data: 0.0977  max mem: 11729\n",
      "Epoch: [22]  [ 80/208]  eta: 0:04:30  lr: 0.000000  loss: 0.5514 (0.5579)  loss_classifier: 0.1962 (0.2004)  loss_box_reg: 0.1884 (0.1908)  loss_objectness: 0.0356 (0.0421)  loss_rpn_box_reg: 0.1193 (0.1246)  time: 2.0241  data: 0.0991  max mem: 11729\n",
      "Epoch: [22]  [ 90/208]  eta: 0:04:07  lr: 0.000000  loss: 0.5544 (0.5569)  loss_classifier: 0.2048 (0.2005)  loss_box_reg: 0.1870 (0.1903)  loss_objectness: 0.0391 (0.0419)  loss_rpn_box_reg: 0.1193 (0.1242)  time: 2.0365  data: 0.1020  max mem: 11729\n",
      "Epoch: [22]  [100/208]  eta: 0:03:45  lr: 0.000000  loss: 0.5482 (0.5564)  loss_classifier: 0.2029 (0.2000)  loss_box_reg: 0.1858 (0.1903)  loss_objectness: 0.0427 (0.0423)  loss_rpn_box_reg: 0.1187 (0.1239)  time: 2.0042  data: 0.1003  max mem: 11729\n",
      "Epoch: [22]  [110/208]  eta: 0:03:24  lr: 0.000000  loss: 0.5502 (0.5570)  loss_classifier: 0.1958 (0.1999)  loss_box_reg: 0.1896 (0.1903)  loss_objectness: 0.0437 (0.0426)  loss_rpn_box_reg: 0.1171 (0.1242)  time: 2.0489  data: 0.1170  max mem: 11729\n",
      "Epoch: [22]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5628 (0.5579)  loss_classifier: 0.1961 (0.1997)  loss_box_reg: 0.1952 (0.1907)  loss_objectness: 0.0423 (0.0427)  loss_rpn_box_reg: 0.1270 (0.1249)  time: 2.0557  data: 0.1167  max mem: 11729\n",
      "Epoch: [22]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5628 (0.5580)  loss_classifier: 0.1980 (0.2000)  loss_box_reg: 0.1957 (0.1908)  loss_objectness: 0.0397 (0.0425)  loss_rpn_box_reg: 0.1270 (0.1247)  time: 2.0103  data: 0.0982  max mem: 11729\n",
      "Epoch: [22]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5479 (0.5585)  loss_classifier: 0.1980 (0.2001)  loss_box_reg: 0.1876 (0.1909)  loss_objectness: 0.0400 (0.0425)  loss_rpn_box_reg: 0.1204 (0.1250)  time: 2.0304  data: 0.1086  max mem: 11729\n",
      "Epoch: [22]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5591 (0.5587)  loss_classifier: 0.1980 (0.2002)  loss_box_reg: 0.1867 (0.1906)  loss_objectness: 0.0454 (0.0427)  loss_rpn_box_reg: 0.1255 (0.1252)  time: 2.0191  data: 0.1101  max mem: 11729\n",
      "Epoch: [22]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5722 (0.5593)  loss_classifier: 0.2023 (0.2006)  loss_box_reg: 0.1908 (0.1910)  loss_objectness: 0.0436 (0.0426)  loss_rpn_box_reg: 0.1266 (0.1251)  time: 2.0008  data: 0.1012  max mem: 11729\n",
      "Epoch: [22]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5698 (0.5590)  loss_classifier: 0.2014 (0.2005)  loss_box_reg: 0.1926 (0.1911)  loss_objectness: 0.0396 (0.0426)  loss_rpn_box_reg: 0.1230 (0.1249)  time: 2.0370  data: 0.1074  max mem: 11729\n",
      "Epoch: [22]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5491 (0.5585)  loss_classifier: 0.1940 (0.2004)  loss_box_reg: 0.1875 (0.1910)  loss_objectness: 0.0389 (0.0424)  loss_rpn_box_reg: 0.1175 (0.1246)  time: 2.0386  data: 0.1054  max mem: 11729\n",
      "Epoch: [22]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5491 (0.5595)  loss_classifier: 0.1979 (0.2008)  loss_box_reg: 0.1905 (0.1914)  loss_objectness: 0.0389 (0.0424)  loss_rpn_box_reg: 0.1229 (0.1250)  time: 2.0273  data: 0.0975  max mem: 11729\n",
      "Epoch: [22]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5506 (0.5593)  loss_classifier: 0.1979 (0.2007)  loss_box_reg: 0.1920 (0.1912)  loss_objectness: 0.0408 (0.0425)  loss_rpn_box_reg: 0.1229 (0.1249)  time: 2.0401  data: 0.1123  max mem: 11729\n",
      "Epoch: [22]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5415 (0.5588)  loss_classifier: 0.1949 (0.2006)  loss_box_reg: 0.1920 (0.1912)  loss_objectness: 0.0406 (0.0423)  loss_rpn_box_reg: 0.1213 (0.1247)  time: 1.9360  data: 0.1029  max mem: 11729\n",
      "Epoch: [22] Total time: 0:07:06 (2.0510 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:30  model_time: 0.6427 (0.6427)  evaluator_time: 3.3146 (3.3146)  time: 7.6886  data: 3.5252  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6301 (0.5129)  evaluator_time: 3.3146 (2.6037)  time: 4.1527  data: 0.9224  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1721 s / it)\n",
      "Averaged stats: model_time: 0.6301 (0.5129)  evaluator_time: 3.3146 (2.6037)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [23]  [  0/208]  eta: 0:28:25  lr: 0.000000  loss: 0.5562 (0.5562)  loss_classifier: 0.1865 (0.1865)  loss_box_reg: 0.1874 (0.1874)  loss_objectness: 0.0541 (0.0541)  loss_rpn_box_reg: 0.1282 (0.1282)  time: 8.1971  data: 5.7589  max mem: 11729\n",
      "Epoch: [23]  [ 10/208]  eta: 0:08:52  lr: 0.000000  loss: 0.5694 (0.5687)  loss_classifier: 0.2063 (0.2022)  loss_box_reg: 0.1964 (0.1960)  loss_objectness: 0.0455 (0.0437)  loss_rpn_box_reg: 0.1265 (0.1268)  time: 2.6875  data: 0.6190  max mem: 11729\n",
      "Epoch: [23]  [ 20/208]  eta: 0:07:25  lr: 0.000000  loss: 0.5694 (0.5677)  loss_classifier: 0.2043 (0.2032)  loss_box_reg: 0.1944 (0.1950)  loss_objectness: 0.0397 (0.0429)  loss_rpn_box_reg: 0.1236 (0.1266)  time: 2.0761  data: 0.1024  max mem: 11729\n",
      "Epoch: [23]  [ 30/208]  eta: 0:06:41  lr: 0.000000  loss: 0.5624 (0.5638)  loss_classifier: 0.1990 (0.2017)  loss_box_reg: 0.1952 (0.1940)  loss_objectness: 0.0379 (0.0432)  loss_rpn_box_reg: 0.1225 (0.1249)  time: 2.0161  data: 0.1032  max mem: 11729\n",
      "Epoch: [23]  [ 40/208]  eta: 0:06:08  lr: 0.000000  loss: 0.5593 (0.5637)  loss_classifier: 0.2000 (0.2027)  loss_box_reg: 0.1920 (0.1934)  loss_objectness: 0.0396 (0.0429)  loss_rpn_box_reg: 0.1203 (0.1246)  time: 2.0121  data: 0.1034  max mem: 11729\n",
      "Epoch: [23]  [ 50/208]  eta: 0:05:40  lr: 0.000000  loss: 0.5593 (0.5652)  loss_classifier: 0.2076 (0.2032)  loss_box_reg: 0.1927 (0.1942)  loss_objectness: 0.0399 (0.0427)  loss_rpn_box_reg: 0.1231 (0.1251)  time: 1.9970  data: 0.1020  max mem: 11729\n",
      "Epoch: [23]  [ 60/208]  eta: 0:05:15  lr: 0.000000  loss: 0.5721 (0.5661)  loss_classifier: 0.2076 (0.2038)  loss_box_reg: 0.1972 (0.1946)  loss_objectness: 0.0400 (0.0425)  loss_rpn_box_reg: 0.1266 (0.1253)  time: 2.0040  data: 0.1044  max mem: 11729\n",
      "Epoch: [23]  [ 70/208]  eta: 0:04:51  lr: 0.000000  loss: 0.5483 (0.5612)  loss_classifier: 0.1999 (0.2021)  loss_box_reg: 0.1859 (0.1931)  loss_objectness: 0.0400 (0.0419)  loss_rpn_box_reg: 0.1201 (0.1241)  time: 2.0116  data: 0.1066  max mem: 11729\n",
      "Epoch: [23]  [ 80/208]  eta: 0:04:29  lr: 0.000000  loss: 0.5284 (0.5621)  loss_classifier: 0.1906 (0.2023)  loss_box_reg: 0.1835 (0.1930)  loss_objectness: 0.0380 (0.0423)  loss_rpn_box_reg: 0.1174 (0.1244)  time: 2.0106  data: 0.1056  max mem: 11729\n",
      "Epoch: [23]  [ 90/208]  eta: 0:04:07  lr: 0.000000  loss: 0.5422 (0.5621)  loss_classifier: 0.1987 (0.2019)  loss_box_reg: 0.1917 (0.1930)  loss_objectness: 0.0380 (0.0424)  loss_rpn_box_reg: 0.1190 (0.1247)  time: 2.0485  data: 0.1005  max mem: 11729\n",
      "Epoch: [23]  [100/208]  eta: 0:03:45  lr: 0.000000  loss: 0.5602 (0.5633)  loss_classifier: 0.2024 (0.2024)  loss_box_reg: 0.1917 (0.1931)  loss_objectness: 0.0387 (0.0428)  loss_rpn_box_reg: 0.1246 (0.1250)  time: 2.0496  data: 0.0996  max mem: 11729\n",
      "Epoch: [23]  [110/208]  eta: 0:03:24  lr: 0.000000  loss: 0.5536 (0.5621)  loss_classifier: 0.1965 (0.2014)  loss_box_reg: 0.1893 (0.1925)  loss_objectness: 0.0397 (0.0428)  loss_rpn_box_reg: 0.1249 (0.1254)  time: 2.0136  data: 0.1001  max mem: 11729\n",
      "Epoch: [23]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5493 (0.5606)  loss_classifier: 0.1910 (0.2006)  loss_box_reg: 0.1821 (0.1917)  loss_objectness: 0.0400 (0.0427)  loss_rpn_box_reg: 0.1244 (0.1256)  time: 2.0570  data: 0.1051  max mem: 11729\n",
      "Epoch: [23]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5545 (0.5597)  loss_classifier: 0.1957 (0.2005)  loss_box_reg: 0.1884 (0.1913)  loss_objectness: 0.0399 (0.0426)  loss_rpn_box_reg: 0.1236 (0.1254)  time: 2.0627  data: 0.1046  max mem: 11729\n",
      "Epoch: [23]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5454 (0.5583)  loss_classifier: 0.1946 (0.2001)  loss_box_reg: 0.1902 (0.1909)  loss_objectness: 0.0388 (0.0424)  loss_rpn_box_reg: 0.1177 (0.1249)  time: 2.0276  data: 0.0998  max mem: 11729\n",
      "Epoch: [23]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5441 (0.5577)  loss_classifier: 0.1949 (0.2001)  loss_box_reg: 0.1880 (0.1909)  loss_objectness: 0.0376 (0.0422)  loss_rpn_box_reg: 0.1177 (0.1245)  time: 2.0303  data: 0.1042  max mem: 11729\n",
      "Epoch: [23]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5458 (0.5571)  loss_classifier: 0.1999 (0.2001)  loss_box_reg: 0.1933 (0.1908)  loss_objectness: 0.0376 (0.0420)  loss_rpn_box_reg: 0.1194 (0.1242)  time: 2.0252  data: 0.1029  max mem: 11729\n",
      "Epoch: [23]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5547 (0.5577)  loss_classifier: 0.1999 (0.2002)  loss_box_reg: 0.1950 (0.1911)  loss_objectness: 0.0421 (0.0423)  loss_rpn_box_reg: 0.1221 (0.1241)  time: 2.0318  data: 0.1048  max mem: 11729\n",
      "Epoch: [23]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5598 (0.5578)  loss_classifier: 0.1986 (0.2003)  loss_box_reg: 0.1930 (0.1911)  loss_objectness: 0.0418 (0.0422)  loss_rpn_box_reg: 0.1250 (0.1242)  time: 2.0447  data: 0.1071  max mem: 11729\n",
      "Epoch: [23]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5527 (0.5575)  loss_classifier: 0.1985 (0.2001)  loss_box_reg: 0.1893 (0.1908)  loss_objectness: 0.0406 (0.0420)  loss_rpn_box_reg: 0.1235 (0.1245)  time: 2.0163  data: 0.1030  max mem: 11729\n",
      "Epoch: [23]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5556 (0.5580)  loss_classifier: 0.1987 (0.2002)  loss_box_reg: 0.1893 (0.1909)  loss_objectness: 0.0406 (0.0422)  loss_rpn_box_reg: 0.1224 (0.1247)  time: 2.0130  data: 0.1005  max mem: 11729\n",
      "Epoch: [23]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5451 (0.5579)  loss_classifier: 0.1963 (0.1999)  loss_box_reg: 0.1898 (0.1909)  loss_objectness: 0.0389 (0.0422)  loss_rpn_box_reg: 0.1230 (0.1249)  time: 1.9290  data: 0.0905  max mem: 11729\n",
      "Epoch: [23] Total time: 0:07:07 (2.0531 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6491 (0.6491)  evaluator_time: 3.2631 (3.2631)  time: 7.8531  data: 3.8234  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6292 (0.5141)  evaluator_time: 3.2029 (2.5409)  time: 4.1186  data: 0.9725  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1457 s / it)\n",
      "Averaged stats: model_time: 0.6292 (0.5141)  evaluator_time: 3.2029 (2.5409)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.09s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n",
      "Epoch: [24]  [  0/208]  eta: 0:29:42  lr: 0.000000  loss: 0.5435 (0.5435)  loss_classifier: 0.1918 (0.1918)  loss_box_reg: 0.1835 (0.1835)  loss_objectness: 0.0407 (0.0407)  loss_rpn_box_reg: 0.1275 (0.1275)  time: 8.5691  data: 6.1223  max mem: 11729\n",
      "Epoch: [24]  [ 10/208]  eta: 0:09:00  lr: 0.000000  loss: 0.5216 (0.5286)  loss_classifier: 0.1846 (0.1874)  loss_box_reg: 0.1776 (0.1812)  loss_objectness: 0.0391 (0.0398)  loss_rpn_box_reg: 0.1216 (0.1202)  time: 2.7312  data: 0.6508  max mem: 11729\n",
      "Epoch: [24]  [ 20/208]  eta: 0:07:28  lr: 0.000000  loss: 0.5266 (0.5375)  loss_classifier: 0.1891 (0.1923)  loss_box_reg: 0.1827 (0.1848)  loss_objectness: 0.0389 (0.0392)  loss_rpn_box_reg: 0.1220 (0.1213)  time: 2.0767  data: 0.1037  max mem: 11729\n",
      "Epoch: [24]  [ 30/208]  eta: 0:06:46  lr: 0.000000  loss: 0.5541 (0.5427)  loss_classifier: 0.1978 (0.1941)  loss_box_reg: 0.1906 (0.1859)  loss_objectness: 0.0385 (0.0394)  loss_rpn_box_reg: 0.1223 (0.1233)  time: 2.0336  data: 0.1039  max mem: 11729\n",
      "Epoch: [24]  [ 40/208]  eta: 0:06:12  lr: 0.000000  loss: 0.5392 (0.5424)  loss_classifier: 0.1958 (0.1938)  loss_box_reg: 0.1914 (0.1859)  loss_objectness: 0.0417 (0.0398)  loss_rpn_box_reg: 0.1194 (0.1228)  time: 2.0372  data: 0.1013  max mem: 11729\n",
      "Epoch: [24]  [ 50/208]  eta: 0:05:43  lr: 0.000000  loss: 0.5480 (0.5500)  loss_classifier: 0.1974 (0.1962)  loss_box_reg: 0.1960 (0.1888)  loss_objectness: 0.0418 (0.0408)  loss_rpn_box_reg: 0.1224 (0.1242)  time: 2.0106  data: 0.0982  max mem: 11729\n",
      "Epoch: [24]  [ 60/208]  eta: 0:05:19  lr: 0.000000  loss: 0.5687 (0.5529)  loss_classifier: 0.2085 (0.1978)  loss_box_reg: 0.1965 (0.1900)  loss_objectness: 0.0427 (0.0413)  loss_rpn_box_reg: 0.1236 (0.1237)  time: 2.0415  data: 0.0998  max mem: 11729\n",
      "Epoch: [24]  [ 70/208]  eta: 0:04:54  lr: 0.000000  loss: 0.5650 (0.5560)  loss_classifier: 0.2054 (0.1991)  loss_box_reg: 0.1965 (0.1910)  loss_objectness: 0.0423 (0.0418)  loss_rpn_box_reg: 0.1219 (0.1241)  time: 2.0353  data: 0.1029  max mem: 11729\n",
      "Epoch: [24]  [ 80/208]  eta: 0:04:31  lr: 0.000000  loss: 0.5764 (0.5585)  loss_classifier: 0.2083 (0.2007)  loss_box_reg: 0.1932 (0.1915)  loss_objectness: 0.0410 (0.0418)  loss_rpn_box_reg: 0.1229 (0.1246)  time: 1.9951  data: 0.1024  max mem: 11729\n",
      "Epoch: [24]  [ 90/208]  eta: 0:04:09  lr: 0.000000  loss: 0.5690 (0.5581)  loss_classifier: 0.2035 (0.2006)  loss_box_reg: 0.1930 (0.1916)  loss_objectness: 0.0410 (0.0418)  loss_rpn_box_reg: 0.1229 (0.1242)  time: 2.0444  data: 0.1051  max mem: 11729\n",
      "Epoch: [24]  [100/208]  eta: 0:03:47  lr: 0.000000  loss: 0.5519 (0.5583)  loss_classifier: 0.1997 (0.2006)  loss_box_reg: 0.1912 (0.1916)  loss_objectness: 0.0408 (0.0419)  loss_rpn_box_reg: 0.1246 (0.1243)  time: 2.0379  data: 0.1038  max mem: 11729\n",
      "Epoch: [24]  [110/208]  eta: 0:03:25  lr: 0.000000  loss: 0.5558 (0.5587)  loss_classifier: 0.2003 (0.2004)  loss_box_reg: 0.1931 (0.1919)  loss_objectness: 0.0385 (0.0418)  loss_rpn_box_reg: 0.1253 (0.1246)  time: 1.9891  data: 0.1035  max mem: 11729\n",
      "Epoch: [24]  [120/208]  eta: 0:03:03  lr: 0.000000  loss: 0.5502 (0.5572)  loss_classifier: 0.1994 (0.1999)  loss_box_reg: 0.1887 (0.1912)  loss_objectness: 0.0418 (0.0418)  loss_rpn_box_reg: 0.1219 (0.1244)  time: 2.0317  data: 0.1089  max mem: 11729\n",
      "Epoch: [24]  [130/208]  eta: 0:02:42  lr: 0.000000  loss: 0.5550 (0.5573)  loss_classifier: 0.1998 (0.2001)  loss_box_reg: 0.1887 (0.1914)  loss_objectness: 0.0378 (0.0414)  loss_rpn_box_reg: 0.1209 (0.1243)  time: 2.0244  data: 0.1063  max mem: 11729\n",
      "Epoch: [24]  [140/208]  eta: 0:02:21  lr: 0.000000  loss: 0.5565 (0.5570)  loss_classifier: 0.2017 (0.2002)  loss_box_reg: 0.1893 (0.1911)  loss_objectness: 0.0371 (0.0414)  loss_rpn_box_reg: 0.1218 (0.1243)  time: 1.9894  data: 0.1038  max mem: 11729\n",
      "Epoch: [24]  [150/208]  eta: 0:02:00  lr: 0.000000  loss: 0.5476 (0.5569)  loss_classifier: 0.1998 (0.2003)  loss_box_reg: 0.1874 (0.1910)  loss_objectness: 0.0379 (0.0413)  loss_rpn_box_reg: 0.1198 (0.1242)  time: 2.0521  data: 0.1082  max mem: 11729\n",
      "Epoch: [24]  [160/208]  eta: 0:01:39  lr: 0.000000  loss: 0.5476 (0.5570)  loss_classifier: 0.2004 (0.2005)  loss_box_reg: 0.1887 (0.1914)  loss_objectness: 0.0382 (0.0412)  loss_rpn_box_reg: 0.1165 (0.1240)  time: 2.0486  data: 0.1053  max mem: 11729\n",
      "Epoch: [24]  [170/208]  eta: 0:01:18  lr: 0.000000  loss: 0.5490 (0.5568)  loss_classifier: 0.1949 (0.2000)  loss_box_reg: 0.1895 (0.1912)  loss_objectness: 0.0389 (0.0414)  loss_rpn_box_reg: 0.1253 (0.1242)  time: 2.0028  data: 0.0997  max mem: 11729\n",
      "Epoch: [24]  [180/208]  eta: 0:00:57  lr: 0.000000  loss: 0.5503 (0.5574)  loss_classifier: 0.1949 (0.2001)  loss_box_reg: 0.1875 (0.1912)  loss_objectness: 0.0428 (0.0416)  loss_rpn_box_reg: 0.1312 (0.1245)  time: 2.0457  data: 0.1085  max mem: 11729\n",
      "Epoch: [24]  [190/208]  eta: 0:00:37  lr: 0.000000  loss: 0.5544 (0.5577)  loss_classifier: 0.1967 (0.1999)  loss_box_reg: 0.1888 (0.1913)  loss_objectness: 0.0457 (0.0420)  loss_rpn_box_reg: 0.1270 (0.1245)  time: 2.0546  data: 0.1093  max mem: 11729\n",
      "Epoch: [24]  [200/208]  eta: 0:00:16  lr: 0.000000  loss: 0.5481 (0.5569)  loss_classifier: 0.1944 (0.1996)  loss_box_reg: 0.1831 (0.1908)  loss_objectness: 0.0443 (0.0419)  loss_rpn_box_reg: 0.1221 (0.1246)  time: 2.0107  data: 0.0994  max mem: 11729\n",
      "Epoch: [24]  [207/208]  eta: 0:00:02  lr: 0.000000  loss: 0.5431 (0.5576)  loss_classifier: 0.1976 (0.1996)  loss_box_reg: 0.1818 (0.1908)  loss_objectness: 0.0423 (0.0423)  loss_rpn_box_reg: 0.1247 (0.1249)  time: 1.9081  data: 0.0913  max mem: 11729\n",
      "Epoch: [24] Total time: 0:07:07 (2.0544 s / it)\n",
      "creating index...\n",
      "index created!\n",
      "Test:  [0/4]  eta: 0:00:31  model_time: 0.6504 (0.6504)  evaluator_time: 3.2392 (3.2392)  time: 7.7526  data: 3.7424  max mem: 11729\n",
      "Test:  [3/4]  eta: 0:00:04  model_time: 0.6294 (0.5059)  evaluator_time: 3.2392 (2.5005)  time: 4.0828  data: 0.9787  max mem: 11729\n",
      "Test: Total time: 0:00:16 (4.1007 s / it)\n",
      "Averaged stats: model_time: 0.6294 (0.5059)  evaluator_time: 3.2392 (2.5005)\n",
      "Accumulating evaluation results...\n",
      "DONE (t=0.06s).\n",
      "IoU metric: bbox\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.914\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.496\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.230\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.014\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.137\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.565\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n"
     ]
    }
   ],
   "source": [
    "from engine import train_one_epoch, evaluate\n",
    "import utils\n",
    "\n",
    "# train on the GPU or on the CPU, if a GPU is not available\n",
    "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
    "\n",
    "# our dataset has two classes only - background and wheat heads\n",
    "num_classes = 2\n",
    "\n",
    "# use our dataset and defined transformations\n",
    "dataset = WheatDataset(train_df, None)\n",
    "dataset_test = WheatDataset(train_df, None)\n",
    "\n",
    "# split the dataset in train and test set\n",
    "indices = torch.randperm(len(dataset)).tolist()\n",
    "dataset = torch.utils.data.Subset(dataset, indices[:-50])\n",
    "dataset_test = torch.utils.data.Subset(dataset_test, indices[-50:])\n",
    "\n",
    "# define training and validation data loaders\n",
    "data_loader = torch.utils.data.DataLoader(\n",
    "    dataset, batch_size=16, shuffle=True, num_workers=4,\n",
    "    collate_fn=utils.collate_fn)\n",
    "\n",
    "data_loader_test = torch.utils.data.DataLoader(\n",
    "    dataset_test, batch_size=16, shuffle=False, num_workers=4,\n",
    "    collate_fn=utils.collate_fn)\n",
    "\n",
    "# get the model using our helper function\n",
    "model = get_model()\n",
    "\n",
    "# move model to the right device\n",
    "model.to(device)\n",
    "\n",
    "# construct an optimizer\n",
    "params = [p for p in model.parameters() if p.requires_grad]\n",
    "optimizer = torch.optim.SGD(params, lr=0.005,\n",
    "                            momentum=0.9, weight_decay=0.0005)\n",
    "\n",
    "# and a learning rate scheduler\n",
    "lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer,\n",
    "                                               step_size=3,\n",
    "                                               gamma=0.1)\n",
    "\n",
    "# let's train it for 25 epochs\n",
    "num_epochs = 25\n",
    "\n",
    "for epoch in range(num_epochs):\n",
    "    # train for one epoch, printing every 10 iterations\n",
    "    train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)\n",
    "    # update the learning rate\n",
    "    lr_scheduler.step()\n",
    "    # evaluate on the test dataset\n",
    "    evaluate(model, data_loader_test, device=device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(model.state_dict(), 'fasterrcnn_25.pth')"
   ]
  }
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